๐ List of Top-tier Conference Papers on Reinforcement Learning (RL)๏ผin...
A resource for learning about deep learning techniques from regression t...
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implement...
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation...
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated ...
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Ima...
A collection of various RL algorithms like policy gradients, DQN and PPO...
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Solutions of assignments of Deep Reinforcement Learning course presented...
PyTorch implementation of some reinforcement learning algorithms: A2C, P...
Paddle-RLBooks is a reinforcement learning code study guide based on pur...
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Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement L...
Highly Modular and Scalable Reinforcement Learning
Clean baseline implementation of PPO using an episodic TransformerXL memory