Example projects for Reinforcement Learning using PyTorch.
- QLearn - https://www.datacamp.com/tutorial/introduction-q-learning-beginner-tutorial
- DQN - https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html
- DDQN - https://pytorch.org/tutorials/intermediate/mario_rl_tutorial.html
- SQL - https://github.com/gouxiangchen/soft-Q-learning
- PolicyGradient - https://huggingface.co/learn/deep-rl-course/unit4/hands-on?fw=pt
- Reinforce - https://huggingface.co/blog/deep-rl-pg
- A2C - https://towardsdatascience.com/understanding-actor-critic-methods-931b97b6df3f
- TRPO - https://medium.com/@vladogim97/trpo-minimal-pytorch-implementation-859e46c4232e
- PPO - https://github.com/ericyangyu/PPO-for-Beginners
- SAC - https://github.com/toshikwa/sac-discrete.pytorch
- DIAYN - https://github.com/alirezakazemipour/DIAYN-PyTorch
- Unity ML Agents - https://medium.com/analytics-vidhya/ppo-algorithm-with-custom-rl-environment-made-with-unity-engine-effed6d98b9d
- BC - https://medium.com/@sthanikamsanthosh1994/imitation-learning-behavioral-cloning-using-pytorch-d5013404a9e5
- GAIL - https://github.com/hcnoh/gail-pytorch/blob/main/models/gail.py
- AIRL - https://towardsdatascience.com/infer-your-reward-by-observing-an-expert-140b685fd5b5
- SQIL - https://github.com/gouxiangchen/soft-Q-learning
- IQ-Learn - https://github.com/Div99/IQ-Learn