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Some maze environments for reinforcement learning(RL) using [mujoco-py] and Some maze environments for reinforcement learning(RL) using [mujoco-py] and
[openai gym][gym]. [openai gym][gym].
Thankfully, this project is based on the code from [rllab], Thankfully, this project is based on the code from [rllab] and [tensorflow/models][models].
[tensorflow/models][models], and [deep-skill-chaining][dsc].
## Implemeted Environments
- Distance based rewards
- AntMaze-v0
- AntPush-v0
- AntFall-v0
- PointMaze-v0
- PointPush-v0
- PointFall-v0
- Goal rewards + step penalty
- AntMaze-v1
- AntPush-v1
- AntFall-v1
- PointMaze-v1
- PointPush-v1
- PointFall-v1
## License ## License
This project is licensed under Apache License, Version 2.0 This project is licensed under Apache License, Version 2.0
([LICENSE-APACHE](LICENSE) or http://www.apache.org/licenses/LICENSE-2.0). ([LICENSE-APACHE](LICENSE) or http://www.apache.org/licenses/LICENSE-2.0).
[dsc]: https://github.com/deep-skill-chaining/deep-skill-chaining
[gym]: https://github.com/openai/gym [gym]: https://github.com/openai/gym
[models]: https://github.com/tensorflow/models/tree/master/research/efficient-hrl [models]: https://github.com/tensorflow/models/tree/master/research/efficient-hrl
[mujoco-py]: https://github.com/openai/mujoco-py [mujoco-py]: https://github.com/openai/mujoco-py