PyTorch implementation of the implicit Q-learning algorithm (IQL)

Last update: Dec 30, 2022

Overview

Implicit-Q-Learning (IQL)

PyTorch implementation of the implicit Q-learning algorithm IQL (Paper)

Currently only implemented for online learning. Offline RL version with D4RL will be updated soon.

Run

python train.py

Results

Pendulum

Reference

Original JAX implementation: IQL

Help and issues:

Im open for feedback, found bugs, improvements or anything. Just leave me a message or contact me.

Author

Sebastian Dittert

Feel free to use this code for your own projects or research.

@misc{IQL,
  author = {Dittert, Sebastian},
  title = {PyTorch Implementation of Implicit-Q-Learning (IQL)},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/BY571/Implicit-Q-Learning}},
}

Owner

Sebastian Dittert

Mechanical Engineer M.Sc. Interested in Deep Reinforcement Learning, AI and Robotics/Self-driving cars

GitHub Repository

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PyTorch implementation of the implicit Q-learning algorithm (IQL)

Related tags

Overview

Implicit-Q-Learning (IQL)

Run

Results

Pendulum

Reference

Help and issues:

Author

Owner

Sebastian Dittert

kullanışlı ve işinizi kolaylaştıracak bir araç

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