datawhalechina / joyrlLinks
An easier PyTorch deep reinforcement learning library.
☆251Updated last year
Alternatives and similar repositories for joyrl
Users that are interested in joyrl are comparing it to the libraries listed below
Sorting:
- ☆68Updated 2 years ago
- basic algorithms of reinforcement learning☆214Updated 2 years ago
- GitHub's code repository is all you need☆365Updated 2 years ago
- rl-papers☆50Updated 2 years ago
- Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.☆186Updated 2 months ago
- ☆284Updated last month
- ☆90Updated 3 years ago
- 天授中文文档☆62Updated last year
- ☆834Updated 2 years ago
- ☆174Updated 2 years ago
- 《强化学习-原理与Python实现》的Pytorch实现。☆61Updated 5 years ago
- 强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition☆166Updated 4 years ago
- Unified Reinforcement Learning Framework☆802Updated last year
- The mirror of RL_Coding_Exercise.☆114Updated last year
- 强化学习-中文笔记&资源-以python实例为主-由浅入深☆109Updated 5 years ago
- 此项目中将上传我在B站《强化学习理论基础》系列视频中的板书、参考资料等内容。☆85Updated 2 years ago
- 动手学强化学习代码☆65Updated last year
- ☆462Updated 7 months ago
- Learning Resources And Links Of Reinforcement Learning (updating)☆290Updated 4 years ago
- Reinforcement Learning algorithms and use-cases, including DQN, PG, A3C, PPO etc. and RLHF, AlphaZero implementations. Designed for clari…☆41Updated last year
- Pytorch for Deep Reinforcement Learning☆255Updated 5 years ago
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆1,021Updated this week
- Build a bridge that connects beginners to deep reinforcement learning.☆11Updated last year
- ☆258Updated last week
- Multiagent Reinforcement Learning Research Project☆225Updated 6 months ago
- Not interactive deep reinforcement learning book with no-framework code, copied math, no discussions. Adopted at only -1 university(Shanh…☆23Updated last year
- RL algorithms☆141Updated 4 years ago
- 基于gym的pytorch深度强化学习(DRL)(PPO,PPG,DQN,SAC,DDPG,TD3等算法)☆142Updated 3 weeks ago
- Source Code☆222Updated last year
- 《深度强化学习:原理与实践》,Code of the book <Deep Reinforcement Learning: Principles and Practices>☆200Updated 6 years ago