takuya-ki / rl

Implementations of reinforcement learning

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rl

Implementations of reinforcement learning examples

References

Dependencies (tested)

  • Windows 10
    • GPU: NVIDIA GeForce RTX 3080
      • Driver 471.11
      • CUDA 11.1
  • Ubuntu 18.04
    • GPU: NVIDIA GeForce RTX 3080
      • Driver 470.57
      • CUDA 11.0
  • Python 3.7.3
    • gym 0.20.0
    • numpy 1.21.5
    • ipython 7.31.1
    • pyglet 1.5.21
    • matplotlib 3.1.1
    • torch 1.9.1
    • torchvision 0.10.1
    • torchaudio 0.9.1
    • pybullet 3.2.0
    • tensorboardX 2.4.1

Installation

git clone git@github.com:takuya-ki/rl.git; cd rl
pip install -r requirements.txt

Usage

python cartpole/cartpole_qrl.py
python cartpole/cartpole_dqrl.py

python robot/train_kuka_grasp.py
python robot/eval_kuka_grasp.py

Author / Contributor

Takuya Kiyokawa

LICENSE

This software is released under the MIT License, see LICENSE.
This software includes the work that is distributed in the Apache License 2.0.

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Implementations of reinforcement learning

License:MIT License


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