fork of https://github.com/kngwyu/mujoco-maze with some fixes
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Yuji Kanagawa 1a8d5eb3bb
Merge pull request #1 from kngwyu/customizable
Introduce MazeTask for customizability
2020-08-04 14:32:25 +09:00
mujoco_maze Use offset instead of extending the line 2020-07-15 00:59:54 +09:00
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tests Use offset instead of extending the line 2020-07-15 00:59:54 +09:00
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poetry.lock Make it work 2020-05-25 17:26:57 +09:00
pyproject.toml Introduce MazeCell and refactor 2020-06-04 14:31:00 +09:00
README.md Add screenshots in README 2020-08-04 02:19:24 +09:00
setup.cfg INITIAL 2020-05-21 19:05:06 +09:00
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mujoco-maze

Some maze environments for reinforcement learning(RL) using mujoco-py and openai gym.

Thankfully, this project is based on the code from rllab and tensorflow/models.

Environments

  • PointUMaze/AntUmaze

    PointUMaze

    • PointUMaze-v0/AntUMaze-v0 (Distance-based Reward)
    • PointUmaze-v1/AntUMaze-v1 (Goal-based Reward i.e., 1.0 or -ε)
  • Point4Rooms/Ant4Rooms

    Point4Rooms

    • Point4Rooms-v0/Ant4Rooms-v0 (Distance-based Reward)
    • Point4Rooms-v1/Ant4Rooms-v1 (Goal-based Reward)
    • Point4Rooms-v2/Ant4Rooms-v2 (Multiple Goals (0.5 pt or 1.0 pt))
  • PointPush/AntPush

    PointPush

    • PointPush-v0/AntPush-v0 (Distance-based Reward)
    • PointPush-v1/AntPush-v1 (Goal-based Reward)
  • PointFall/AntFall

    PointFall

    • PointFall-v0/AntFall-v0 (Distance-based Reward)
    • PointFall-v1/AntFall-v1 (Goal-based Reward)

License

This project is licensed under Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0).