Reinforcement Learning Algorithms Based on PyTorch
☆453Oct 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reinforcement Leanring Algorithms Trained with Unity☆13Apr 26, 2019Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,359Mar 13, 2025Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Aug 8, 2021Updated 5 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,572Apr 11, 2022Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆354Mar 25, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 4 years ago
- TensorFlow2 Reinforcement Learning☆474Feb 13, 2022Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆487Nov 19, 2021Updated 4 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,365Feb 20, 2026Updated 6 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆753Jul 7, 2026Updated 2 months ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆316Sep 28, 2022Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,938Jul 25, 2024Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆810May 29, 2022Updated 4 years ago
- RLA is a tool for managing your RL experiments automatically☆71Feb 7, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,763Sep 8, 2022Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆556Dec 14, 2023Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,439Nov 29, 2023Updated 2 years ago
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆1,033Oct 26, 2025Updated 10 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,655Mar 24, 2023Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆208Oct 5, 2022Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆425Mar 11, 2020Updated 6 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,329Sep 4, 2022Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,287Feb 9, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,774Apr 9, 2024Updated 2 years ago
- ☆92Dec 9, 2020Updated 5 years ago
- Deep RL agents with PyTorch☆35Sep 25, 2021Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆751May 23, 2022Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆697Dec 18, 2025Updated 9 months ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 5 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,983Apr 3, 2026Updated 5 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079May 19, 2021Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,707Nov 18, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆374Mar 16, 2023Updated 3 years ago
- A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀☆639Mar 24, 2023Updated 3 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆1,038Jul 17, 2026Updated 2 months ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Aug 30, 2023Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆296Feb 24, 2021Updated 5 years ago
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,078May 23, 2024Updated 2 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆599Jun 4, 2022Updated 4 years ago