| Name | Version | Summary | date |
| 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 |
| PaLM-rlhf-pytorch |
0.2.1 |
PaLM + Reinforcement Learning with Human Feedback - Pytorch |
2023-04-05 14:29:18 |
| 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 |
| opof-grid2d |
0.2.0 |
OPOF domains for 2D grid worlds |
2023-03-12 19:11:11 |
| crop-coach |
0.0.8 |
crop_coach : A crop growth simulation model turn into OpenAI Gym environment |
2023-02-11 11:59:48 |
| RLSolver |
0.0.2 |
RLSolver: High-performance RL solvers. |
2023-02-07 14:00:47 |
| qrl-graph |
0.0.13 |
Reinforcement Learning Algorithms for the quantum speed up in graphs |
2023-02-03 23:45:32 |
| highrl |
0.1.5 |
Two level RL for robots navigation |
2023-01-09 10:34:26 |