deep-reinforcement-learning-book / awesome-reinforcement-learning
A curated list of deep RL resources
☆26Updated 5 years ago
Alternatives and similar repositories for awesome-reinforcement-learning:
Users that are interested in awesome-reinforcement-learning are comparing it to the libraries listed below
- A curated list of multiagent learning and related area resources.☆77Updated 5 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated last month
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 6 years ago
- DQN examples codes in chapter 4☆43Updated 2 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆222Updated 3 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆220Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆125Updated 5 months ago
- deep-reinforcement-learning☆16Updated 6 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆73Updated 4 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- RLlib tutorials☆65Updated 3 years ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆87Updated last month
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆87Updated 2 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆118Updated 5 months ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Graph convolutional memory for reinforcement learning☆23Updated 3 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆64Updated 5 months ago
- Distributed Deep Reinforcement Learning☆29Updated 4 years ago
- ☆38Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- ☆33Updated 4 years ago
- Made for a reading group at the Center for Safe AGI.☆12Updated 2 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- ☆42Updated this week