| Name | Version | Summary | date |
| motndp |
0.1.0 |
Multi-Objective Transport Network Design Problem gymnasium environment. |
2024-11-25 16:51:40 |
| laser-learning-environment |
2.0.0 |
Laser Learning Environment (LLE) for Multi-Agent Reinforcement Learning |
2024-11-21 14:54:11 |
| minigrid |
3.0.0 |
Minimalistic gridworld reinforcement learning environments. |
2024-11-17 14:49:20 |
| gymnasium-search-race |
3.0.0 |
A reinforcement learning environment for the Search Race CG puzzle based on Gymnasium |
2024-11-15 23:06:59 |
| rlmodule |
0.1.6.3 |
Flexible reinforcement learning models instantiators library |
2024-11-12 10:27:11 |
| oat-llm |
0.0.4 |
Online AlignmenT (OAT) for LLMs. |
2024-11-11 09:26:07 |
| PyFlyt |
0.27.0 |
UAV Flight Simulator Gymnasium Environments for Reinforcement Learning Research. |
2024-10-30 14:43:34 |
| mo-gymnasium |
1.3.1 |
A standard API for MORL and a diverse set of reference environments. |
2024-10-28 18:32:17 |
| ReplicantDriveSim |
0.4.8 |
A Unity Traffic Simulation |
2024-10-23 16:38:24 |
| tile-match-gym |
1.0.5 |
A set of reinforcement learning environments for tile matching games, consistent with the OpenAI Gymnasium API. |
2024-10-21 12:20:23 |
| gymnasium-robotics |
1.3.1 |
Robotics environments for the Gymnasium repo. |
2024-10-14 01:26:54 |
| minari |
0.5.1 |
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities. |
2024-10-09 10:34:41 |
| gymnasium |
1.0.0 |
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym). |
2024-10-08 10:01:02 |
| isaacsim-rl |
4.2.0.2 |
Isaac Sim components for reinforcement learning |
2024-09-20 03:51:19 |
| mettagrid |
0.0.3 |
A fast grid-based open-ended MARL environment |
2024-09-17 17:38:45 |
| puffergrid |
0.0.8 |
A framework for fast grid-based environments |
2024-09-17 17:38:17 |
| a2perf |
0.1.0 |
Benchmarking suite for evaluating autonomous agents in real-world domains. |
2024-09-06 15:00:08 |
| magent2 |
0.3.3 |
Multi-Agent Reinforcement Learning environments with very large numbers of agents. |
2024-08-19 22:30:57 |
| highway-env |
1.10.1 |
An environment for simulated highway driving tasks. |
2024-08-19 21:59:06 |
| mpe2 |
0.0.1 |
Multi Particle Environments Version 2 |
2024-08-18 21:22:12 |