HELX-agents


NameHELX-agents JSON
Version 1.0.2 PyPI version JSON
download
home_page
SummaryInteroperate among reinforcement learning libraries with jax, pytorch, gym and dm_env
upload_time2023-12-20 07:36:04
maintainer
docs_urlNone
author
requires_python>=3.8
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. 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You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [2023] The Helx Authors. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
keywords
VCS
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requirements helx_base optax rlax flax
Travis-CI No Travis.
coveralls test coverage No coveralls.
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# Helx: Interoperating between Reinforcement Learning Experimental Protocols

Helx provides a single **interface** to:

**a.** interoperate between a variety of Reinforcement Learning (RL) environments and
**b.** interact with them through a unified agent interface.

It is designed to be agnostic to both the environment library (e.g., `gym`, `dm_control`) and the agent library (e.g., `pytorch`, `jax`, `tensorflow`).

Why using `helx`? It allows to easily switch between different RL libraries, and to easily test your agents on different environments.

## Installation
```bash
pip install git+https://github.com/epignatelli/helx
```

If you also want to download the binaries for `mujoco`, both `gym` and `dm_control`, and `atari`:
```bash
helx-download-extras
```

And then tell the system where the mujoco binaries are:
```bash
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/mujoco/lib
export MJLIB_PATH=/path/to/home/.mujoco/mujoco210/bin/libmujoco210.so
export MUJOCO_PY_MUJOCO_PATH=/path/to/home/.mujoco/mujoco210
```

---
## Example

A typical use case is to design an agent, and toy-test it on `catch` before evaluating it on more complex environments, such as atari, procgen or mujoco.

```python
import bsuite
import gym

import helx.environment
import helx.experiment
import helx.agents

# create the enviornment in you favourite way
env = bsuite.load_from_id("catch/0")
# convert it to an helx environment
env = helx.environment.to_helx(env)
# create the agent
hparams = helx.agents.Hparams(env.obs_space(), env.action_space())
agent = helx.agents.Random(hparams)

# run the experiment
helx.experiment.run(env, agent, episodes=100)
```


Switching to a different environment is as simple as changing the `env` variable.


```diff
import bsuite
import gym

import helx.environment
import helx.experiment
import helx.agents

# create the enviornment in you favourite way
-env = bsuite.load_from_id("catch/0")
+env = gym.make("procgen:procgen-coinrun-v0")
# convert it to an helx environment
env = helx.environment.to_helx(env)
# create the agent
hparams = helx.agents.Hparams(env.obs_space(), env.action_space())
agent = helx.agents.Random(hparams)

# run the experiment
helx.experiment.run(env, agent, episodes=100)
```

---
## Supported libraries

We currently support these external environment models:
- [dm_env](https://github.com/deepmind/dm_env)
- [bsuite](https://github.com/deepmind/bsuite)
- [dm_control](https://github.com/deepmind/dm_control), including
  - [Mujoco](https://mujoco.org)
- [gym](https://github.com/openai/gym) and [gymnasium](https://github.com/Farama-Foundation/Gymnasium), including
  - The [minigrid]() family
  - The [minihack]() family
  - The [atari](https://github.com/mgbellemare/Arcade-Learning-Environment) family
  - The legacy [mujoco](https://www.roboti.us/download.html) family
  - And the standard gym family
- [gym3](https://github.com/openai/gym3), including
  - [procgen](https://github.com/openai/procgen)

#### On the road:
- [gymnax](https://github.com/RobertTLange/gymnax)
- [ivy_gym](https://github.com/unifyai/gym)
---
## Adding a new agent (`helx.agents.Agent`)

An `helx` agent interface is designed as the minimal set of functions necessary to *(i)* interact with an environment and *(ii)* reinforcement learn.

```python
class Agent(ABC):
    """A minimal RL agent interface."""

    @abstractmethod
    def sample_action(self, timestep: Timestep) -> Array:
        """Applies the agent's policy to the current timestep to sample an action."""

    @abstractmethod
    def update(self, timestep: Timestep) -> Any:
        """Updates the agent's internal state (knowledge), such as a table,
        or some function parameters, e.g., the parameters of a neural network."""
```

---
## Adding a new environment library (`helx.environment.Environment`)

To add a new library requires three steps:
1. Implement the `helx.environment.Environment` interface for the new library.
See the [dm_env](helx/environment/dm_env.py) implementation for an example.
1. Implement serialisation (to `helx`) of the following objects:
    - `helx.environment.Timestep`
    - `helx.spaces.Discrete`
    - `helx.spaces.Continuous`
2. Add the new library to the [`helx.environment.to_helx`](helx/environment/interop.py#L16) function to tell `helx` about the new protocol.

---
## Cite
If you use `helx` please consider citing it as:

```bibtex
@misc{helx,
  author = {Pignatelli, Eduardo},
  title = {Helx: Interoperating between Reinforcement Learning Experimental Protocols},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/epignatelli/helx}}
  }
```

---
## A note on maintainance
This repository was born as the recipient of personal research code that was developed over the years.
Its maintainance is limited by the time and the resources of a research project resourced with a single person.
Even if I would like to automate many actions, I do not have the time to maintain the whole body of automation that a well maintained package deserves.
This is the reason of the WIP badge, which I do not plan to remove soon.
Maintainance will prioritise the code functionality over documentation and automation.

Any help is very welcome.
A quick guide to interacting with this repository:
- If you find a bug, please open an issue, and I will fix it as soon as I can.
- If you want to request a new feature, please open an issue, and I will consider it as soon as I can.
- If you want to contribute yourself, please open an issue first, let's discuss objective, plan a proposal, and open a pull request to act on it.

If you would like to be involved further in the development of this repository, please contact me directly at: `edu dot pignatelli at gmail dot com`.

            

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    "author_email": "Eduardo Pignatelli <edu.pignatelli@gmail.com>",
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    "description": "[![CI](https://github.com/epignatelli/helx/actions/workflows/CI.yml/badge.svg)](https://github.com/epignatelli/helx/actions/workflows/CI.yml)\n[![CD](https://github.com/epignatelli/helx/actions/workflows/CD.yml/badge.svg)](https://github.com/epignatelli/helx/actions/workflows/CD.yml)\n![GitHub release (latest by date)](https://img.shields.io/github/v/release/epignatelli/helx?color=%23216477&label=Release)\n\n# Helx: Interoperating between Reinforcement Learning Experimental Protocols\n\nHelx provides a single **interface** to:\n\n**a.** interoperate between a variety of Reinforcement Learning (RL) environments and\n**b.** interact with them through a unified agent interface.\n\nIt is designed to be agnostic to both the environment library (e.g., `gym`, `dm_control`) and the agent library (e.g., `pytorch`, `jax`, `tensorflow`).\n\nWhy using `helx`? It allows to easily switch between different RL libraries, and to easily test your agents on different environments.\n\n## Installation\n```bash\npip install git+https://github.com/epignatelli/helx\n```\n\nIf you also want to download the binaries for `mujoco`, both `gym` and `dm_control`, and `atari`:\n```bash\nhelx-download-extras\n```\n\nAnd then tell the system where the mujoco binaries are:\n```bash\nexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/mujoco/lib\nexport MJLIB_PATH=/path/to/home/.mujoco/mujoco210/bin/libmujoco210.so\nexport MUJOCO_PY_MUJOCO_PATH=/path/to/home/.mujoco/mujoco210\n```\n\n---\n## Example\n\nA typical use case is to design an agent, and toy-test it on `catch` before evaluating it on more complex environments, such as atari, procgen or mujoco.\n\n```python\nimport bsuite\nimport gym\n\nimport helx.environment\nimport helx.experiment\nimport helx.agents\n\n# create the enviornment in you favourite way\nenv = bsuite.load_from_id(\"catch/0\")\n#\u00a0convert it to an helx environment\nenv = helx.environment.to_helx(env)\n# create the agent\nhparams = helx.agents.Hparams(env.obs_space(), env.action_space())\nagent = helx.agents.Random(hparams)\n\n#\u00a0run the experiment\nhelx.experiment.run(env, agent, episodes=100)\n```\n\n\nSwitching to a different environment is as simple as changing the `env` variable.\n\n\n```diff\nimport bsuite\nimport gym\n\nimport helx.environment\nimport helx.experiment\nimport helx.agents\n\n# create the enviornment in you favourite way\n-env = bsuite.load_from_id(\"catch/0\")\n+env = gym.make(\"procgen:procgen-coinrun-v0\")\n#\u00a0convert it to an helx environment\nenv = helx.environment.to_helx(env)\n# create the agent\nhparams = helx.agents.Hparams(env.obs_space(), env.action_space())\nagent = helx.agents.Random(hparams)\n\n#\u00a0run the experiment\nhelx.experiment.run(env, agent, episodes=100)\n```\n\n---\n## Supported libraries\n\nWe currently support these external environment models:\n- [dm_env](https://github.com/deepmind/dm_env)\n- [bsuite](https://github.com/deepmind/bsuite)\n- [dm_control](https://github.com/deepmind/dm_control), including\n  - [Mujoco](https://mujoco.org)\n- [gym](https://github.com/openai/gym) and [gymnasium](https://github.com/Farama-Foundation/Gymnasium), including\n  - The [minigrid]() family\n  - The [minihack]() family\n  - The [atari](https://github.com/mgbellemare/Arcade-Learning-Environment) family\n  - The legacy [mujoco](https://www.roboti.us/download.html) family\n  - And the standard gym family\n- [gym3](https://github.com/openai/gym3), including\n  - [procgen](https://github.com/openai/procgen)\n\n#### On the road:\n- [gymnax](https://github.com/RobertTLange/gymnax)\n- [ivy_gym](https://github.com/unifyai/gym)\n---\n## Adding a new agent (`helx.agents.Agent`)\n\nAn `helx` agent interface is designed as the minimal set of functions necessary to *(i)* interact with an environment and *(ii)* reinforcement learn.\n\n```python\nclass Agent(ABC):\n    \"\"\"A minimal RL agent interface.\"\"\"\n\n    @abstractmethod\n    def sample_action(self, timestep: Timestep) -> Array:\n        \"\"\"Applies the agent's policy to the current timestep to sample an action.\"\"\"\n\n    @abstractmethod\n    def update(self, timestep: Timestep) -> Any:\n        \"\"\"Updates the agent's internal state (knowledge), such as a table,\n        or some function parameters, e.g., the parameters of a neural network.\"\"\"\n```\n\n---\n## Adding a new environment library (`helx.environment.Environment`)\n\nTo add a new library requires three steps:\n1. Implement the `helx.environment.Environment` interface for the new library.\nSee the [dm_env](helx/environment/dm_env.py) implementation for an example.\n1. Implement serialisation (to `helx`) of the following objects:\n    - `helx.environment.Timestep`\n    - `helx.spaces.Discrete`\n    - `helx.spaces.Continuous`\n2. Add the new library to the [`helx.environment.to_helx`](helx/environment/interop.py#L16) function to tell `helx` about the new protocol.\n\n---\n## Cite\nIf you use `helx` please consider citing it as:\n\n```bibtex\n@misc{helx,\n  author = {Pignatelli, Eduardo},\n  title = {Helx: Interoperating between Reinforcement Learning Experimental Protocols},\n  year = {2021},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished = {\\url{https://github.com/epignatelli/helx}}\n  }\n```\n\n---\n## A note on maintainance\nThis repository was born as the recipient of personal research code that was developed over the years.\nIts maintainance is limited by the time and the resources of a research project resourced with a single person.\nEven if I would like to automate many actions, I do not have the time to maintain the whole body of automation that a well maintained package deserves.\nThis is the reason of the WIP badge, which I do not plan to remove soon.\nMaintainance will prioritise the code functionality over documentation and automation.\n\nAny help is very welcome.\nA quick guide to interacting with this repository:\n- If you find a bug, please open an issue, and I will fix it as soon as I can.\n- If you want to request a new feature, please open an issue, and I will consider it as soon as I can.\n- If you want to contribute yourself, please open an issue first, let's discuss objective, plan a proposal, and open a pull request to act on it.\n\nIf you would like to be involved further in the development of this repository, please contact me directly at: `edu dot pignatelli at gmail dot com`.\n",
    "bugtrack_url": null,
    "license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\"  \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work.  2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.  3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.  4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:  (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and  (b) You must cause any modified files to carry prominent notices stating that You changed the files; and  (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and  (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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