A high-performance distributed training framework for Reinforcement Learning
☆3,458Sep 30, 2026Updated last month
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.☆303Jul 15, 2024Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆11,046Apr 3, 2026Updated 6 months ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,374Feb 20, 2026Updated 8 months ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,577Apr 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/☆14,851Oct 23, 2026Updated last week
- 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☆9,528Mar 31, 2024Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,940Jul 25, 2024Updated 2 years ago
- Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle☆1,584Dec 11, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,775Aug 1, 2024Updated 2 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 4 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,765Sep 8, 2022Updated 4 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,654Mar 24, 2023Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,118Jul 14, 2023Updated 3 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆12,023Aug 5, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,779Apr 9, 2024Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,224Dec 8, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,791Aug 9, 2024Updated 2 years ago
- Intro to Reinforcement Learning (强化学习纲要）☆3,608Jul 25, 2020Updated 6 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,953Updated this week
- A parallel framework for population-based multi-agent reinforcement learning.☆558Dec 14, 2023Updated 2 years ago
- 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）☆24,133Updated this week
- Some basic examples of playing with RL☆1,274Feb 18, 2026Updated 8 months ago
- A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）☆925Oct 9, 2026Updated 3 weeks 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.
- Deep Reinforcement Learning☆4,723Dec 10, 2022Updated 3 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,166Jul 13, 2023Updated 3 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,891Feb 11, 2026Updated 8 months ago
- xingtian is a componentized library for the development and verification of reinforcement learning algorithms☆319Sep 12, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,325Sep 4, 2022Updated 4 years ago
- A collection of reference environments for offline reinforcement learning☆1,713Nov 18, 2024Updated last year
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆561Apr 2, 2024Updated 2 years ago
- For deep RL and the future of AI.☆1,519Sep 20, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.☆3,649Dec 7, 2025Updated 10 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,907May 29, 2022Updated 4 years ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,232Mar 26, 2026Updated 7 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,126Jul 18, 2024Updated 2 years ago
- 中文整理的强化学习资料（Reinforcement Learning）☆2,200Apr 30, 2020Updated 6 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,373Feb 18, 2024Updated 2 years ago
- Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.☆110Nov 13, 2021Updated 4 years ago