| Name | Version | Summary | date |
| posggym |
0.5.1 |
A collection of diverse environments and reference agents for reinforcement learning and planning research in Partially Observable Stochastic Games (POSGs). . |
2023-11-22 22:33:03 |
| pygba |
0.2.9 |
A Python wrapper around the Game Boy Advance emulator mGBA with built-in support for gymnasium environments. |
2023-11-14 10:16:23 |
| pybullet-envs-gymnasium |
0.4.0 |
Gymnasium port of pybullet envs |
2023-11-08 13:26:25 |
| openrl |
0.1.9 |
unified reinforcement learning framework |
2023-10-27 03:41:46 |
| slxpy |
1.6.1 |
Simulink Python binding generator. |
2023-10-20 11:47:43 |
| rtgym |
0.13 |
Easily implement custom Gymnasium environments for real-time applications |
2023-10-15 05:36:21 |
| roar-py-carla |
0.1.0 |
ROAR_PY carla implementation |
2023-10-08 06:05:19 |
| roar-py-core |
0.1.0 |
ROAR_PY interface definitions and streaming capabilities library |
2023-10-08 05:55:30 |
| qwop-gym |
1.0.1 |
A Gymnasium environment for Benett Foddy's game QWOP |
2023-10-03 14:38:50 |
| tinyscaler |
1.2.7 |
A tiny, simple image scaler. |
2023-09-16 01:14:49 |
| sailboat-gym |
1.2.0 |
A dynamic gym simulation environment specifically designed for sailboats. |
2023-09-09 10:36:37 |
| gym-simplegrid |
1.0.5 |
Simple Gridworld Environment for Gymnasium |
2023-08-23 13:01:01 |
| miniwob |
1.0 |
A web interaction benchmark for reinforcement learning. |
2023-08-14 17:15:38 |
| gymnasium |
0.29.0 |
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym). |
2023-07-14 22:49:04 |
| flappy-bird-env |
0.1.5 |
Flappy Bird as a Farama Gymnasium environment. |
2023-06-26 17:57:47 |
| xroute-env |
0.0.0 |
A standard API for reinforcement learning in detailed routing. |
2023-06-08 09:22:15 |
| tornado-cliff-walking |
0.1.0 |
A variation of Gymnasium's CliffWalking enviroment. |
2023-06-05 23:34:08 |
| 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 |
| renderlab |
0.1.20230421184216 |
Render Gymnasium environments in Google Colaboratory |
2023-04-21 18:42:18 |