A high-performance distributed training framework for Reinforcement Learning
☆3,457Sep 13, 2025Updated 8 months ago
Alternatives and similar repositories for PARL
Users that are interested in PARL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.☆302Jul 15, 2024Updated last year
- An elegant PyTorch deep reinforcement learning library.☆10,790Apr 3, 2026Updated 2 months ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,340Feb 20, 2026Updated 3 months ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,562Apr 11, 2022Updated 4 years ago
- 强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/☆14,297Dec 30, 2025Updated 5 months 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.
- Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学☆9,458Mar 31, 2024Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,936Jul 25, 2024Updated last year
- Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle☆1,587Dec 11, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,726Aug 1, 2024Updated last year
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,081Jul 14, 2023Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,744Sep 8, 2022Updated 3 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,628Mar 24, 2023Updated 3 years ago
- Intro to Reinforcement Learning (强化学习纲要)☆3,585Jul 25, 2020Updated 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.
- Python Multi-Agent Reinforcement Learning framework☆2,197Dec 8, 2022Updated 3 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,769Apr 9, 2024Updated 2 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,799Aug 5, 2024Updated last year
- Some basic examples of playing with RL☆1,274Feb 18, 2026Updated 3 months ago
- A parallel framework for population-based multi-agent reinforcement learning.☆552Dec 14, 2023Updated 2 years ago
- Deep Reinforcement Learning☆4,630Dec 10, 2022Updated 3 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,387May 11, 2026Updated last month
- Python Implementation of Reinforcement Learning: An Introduction☆14,676Aug 9, 2024Updated last year
- PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)☆23,945Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A collection of reference environments for offline reinforcement learning☆1,682Nov 18, 2024Updated last year
- A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)☆919Feb 20, 2026Updated 3 months ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,843Feb 11, 2026Updated 4 months ago
- DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆562Apr 2, 2024Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,034Jul 13, 2023Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,020Jul 18, 2024Updated last year
- For deep RL and the future of AI.☆1,509Mar 1, 2024Updated 2 years ago
- xingtian is a componentized library for the development and verification of reinforcement learning algorithms☆317Sep 12, 2023Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,329Sep 4, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,901May 29, 2022Updated 4 years ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,214Mar 26, 2026Updated 2 months ago
- 中文整理的强化学习资料(Reinforcement Learning)☆2,174Apr 30, 2020Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Nov 29, 2022Updated 3 years ago
- PaddleSlim is an open-source library for deep model compression and architecture search.☆1,614Jan 4, 2026Updated 5 months ago