| Name | Version | Summary | date |
| qwertyenv |
0.1.1 |
Gym and PettingZoo environments (Reinforcement Learning) |
2023-05-10 14:38:11 |
| gymprecice |
0.1.0 |
A framework to designe Reinforcement Learning (RL) environments for Active Flow Control (AFC), as well as a playground to train Deep Reinforcement Learning (DRL) algorithms for AFC applications. |
2023-05-04 12:46:26 |
| tensorrt-lean-libs |
8.6.1 |
A fake package to warn the user they are not installing the correct package. |
2023-05-03 00:01:48 |
| tensorrt-dispatch-libs |
8.6.1 |
A fake package to warn the user they are not installing the correct package. |
2023-05-03 00:01:01 |
| pytinydiffsim |
0.9.5 |
Tiny Differentiable Physics Library for Robotics Simulation and Reinforcement Learning |
2023-04-26 02:03:37 |
| wax-ml |
0.6.4 |
A Python library for machine-learning and feedback loops on streaming data |
2023-04-21 22:27:14 |
| rlcard |
1.2.0 |
A Toolkit for Reinforcement Learning in Card Games |
2023-04-19 16:44:06 |
| siste-test |
0.1.0 |
HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application. |
2023-04-16 22:58:40 |
| AutoROM.accept-rom-license |
0.6.1 |
Automated installation of Atari ROMs for Gym/ALE-Py |
2023-04-06 15:29:13 |
| AutoROM |
0.6.1 |
Automated installation of Atari ROMs for Gym/ALE-Py |
2023-04-06 15:29:10 |
| aine-drl |
0.1.1 |
AINE-DRL is a deep reinforcement learning (DRL) baseline framework. AINE means "Agent IN Environment". |
2023-04-04 11:26:02 |
| catalyst-pdm |
22.4.1 |
Catalyst fork compatible with PDM |
2023-04-03 21:30:57 |
| akademy |
0.1.51 |
akademy: A Reinforcement Learning Framework |
2023-03-29 00:16:07 |
| airgym |
0.0.5 |
OpenAI Gym environment for training reinforcement learning agents on an XPlane simulator |
2023-03-27 15:27:55 |
| inferactively-pymdp |
0.0.7.1 |
A Python package for solving Markov Decision Processes with Active Inference |
2023-03-25 17:50:04 |
| boltzmann-policy-distribution |
0.0.6 |
Code for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models" |
2023-03-22 21:05:52 |
| sokoban-rl |
0.1.2 |
Application of reinforcement learning to the sokoban game |
2023-03-21 00:45:33 |
| posggym-agents |
0.3.1 |
A collection of agents and agent training code for posggym. |
2023-03-13 14:49:00 |
| opof-pomdp |
0.2.0 |
OPOF domains for online POMDP planning |
2023-03-12 22:13:24 |
| opof-sbmp |
0.2.0 |
OPOF domains for sampling-based robot motion planning |
2023-03-12 21:53:32 |