Reinforcement Learning Algorithms Based on PyTorch
☆452Oct 21, 2021Updated 4 years ago
Alternatives and similar repositories for RLs
Users that are interested in RLs are comparing it to the libraries listed below
Sorting:
- Reinforcement Leanring Algorithms Trained with Unity☆13Apr 26, 2019Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,333Mar 13, 2025Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Aug 8, 2021Updated 4 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,561Apr 11, 2022Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆351Mar 25, 2023Updated 2 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 3 years ago
- TensorFlow2 Reinforcement Learning☆475Feb 13, 2022Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆490Nov 19, 2021Updated 4 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,300Feb 20, 2026Updated last month
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆739Apr 12, 2023Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆314Sep 28, 2022Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,925Jul 25, 2024Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆793May 29, 2022Updated 3 years ago
- RLA is a tool for managing your RL experiments automatically☆72Feb 7, 2023Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,729Sep 8, 2022Updated 3 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆550Dec 14, 2023Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,416Nov 29, 2023Updated 2 years ago
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆1,016Oct 26, 2025Updated 4 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,590Mar 24, 2023Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆207Oct 5, 2022Updated 3 years ago
- Deep RL agents with PyTorch☆36Sep 25, 2021Updated 4 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,740Apr 9, 2024Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆416Mar 11, 2020Updated 6 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,326Sep 4, 2022Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆693Dec 18, 2025Updated 3 months ago
- ☆92Dec 9, 2020Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,272Feb 9, 2021Updated 5 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,376Dec 1, 2025Updated 3 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,081May 19, 2021Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,662Nov 18, 2024Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆371Mar 16, 2023Updated 3 years ago
- A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀☆644Mar 24, 2023Updated 2 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Aug 30, 2023Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆998May 30, 2025Updated 9 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- xingtian is a componentized library for the development and verification of reinforcement learning algorithms☆318Sep 12, 2023Updated 2 years ago
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,056May 23, 2024Updated last year