thu-ml / tianshouLinks
An elegant PyTorch deep reinforcement learning library.
☆8,931Updated last week
Alternatives and similar repositories for tianshou
Users that are interested in tianshou are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,898Updated last year
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,232Updated 3 weeks ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,504Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,535Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆8,276Updated 4 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,997Updated last month
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,619Updated last month
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,068Updated last week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,851Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,375Updated last year
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,172Updated last week
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,234Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,314Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,808Updated last year
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- Some basic examples of playing with RL☆1,257Updated 10 months ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,369Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,992Updated 2 years ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,701Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,196Updated this week
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,099Updated 2 years ago
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆997Updated 3 weeks ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,314Updated 8 months ago
- Deep Reinforcement Learning☆4,302Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,047Updated 2 years ago
- A high-performance distributed training framework for Reinforcement Learning☆3,428Updated 2 months ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,250Updated last year
- Intro to Reinforcement Learning (强化学习纲要)☆3,511Updated 5 years ago
- OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.☆3,546Updated 3 weeks ago
- Python Multi-Agent Reinforcement Learning framework☆2,112Updated 2 years ago