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adcorl

Contrastive learning for Generalization of Reinforcement Learning.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-reinforcement-learning

Implement adversaial RL to multi-vehicles at intersections

adversarial_rl

adversarialnetspapers

The classical paper list with code about generative adversarial nets

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

ccm_adv

Adversarial Contrastive Reinforcement Learning

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

distributional-soft-actor-critic

reinforcement learning; pytorch; Mujoco

end-to-end-autonomous-driving

All you need for End-to-end Autonomous Driving

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

experiment_driving

Real Vehicle Experiment for Integrated decision and control framwork

mpg

MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforcement learning algorithms.

new-pac

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

rarl

Tensorflow implementation for Robust Adversarial Reinforcement Learning: https://arxiv.org/pdf/1703.02702.pdf

redat

Learn a Robust Policy for Real-world Driving with Adversarial Reinforcement Learning

ria

TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning" (ICLR 2022).

sac

Soft Actor-Critic

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

toyota_exp_train