Unified Reinforcement Learning Framework
☆817Sep 6, 2024Updated last year
Alternatives and similar repositories for openrl
Users that are interested in openrl are comparing it to the libraries listed below
Sorting:
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,269Nov 28, 2024Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆548Dec 14, 2023Updated 2 years ago
- Official implementation of HARL algorithms based on PyTorch.☆862Apr 27, 2025Updated 10 months ago
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆67Sep 10, 2023Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,267Dec 1, 2025Updated 2 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,892Jul 18, 2024Updated last year
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,272Aug 12, 2024Updated last year
- ☆483Dec 28, 2023Updated 2 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,289Feb 20, 2026Updated last week
- OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.☆3,594Dec 7, 2025Updated 2 months ago
- A multi-agent quadruped environment, supporting learning of locomotion control or merely high-level planning.☆123Apr 10, 2024Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆526Jul 21, 2023Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,649Nov 18, 2024Updated last year
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,315Updated this week
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆690Sep 24, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,767Feb 21, 2026Updated last week
- A Massively Parallel Large Scale Self-Play Framework☆361Jan 9, 2023Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,723Sep 8, 2022Updated 3 years ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆542Dec 4, 2025Updated 2 months ago
- D3PE (Deep Data-Driven Policy Evaluation) aims to evaluation a large set of candidate policies from a fixed dataset to select best ones.☆11Jun 2, 2022Updated 3 years ago
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆1,037Updated this week
- Multi-Agent Reinforcement Learning with JAX☆748Jan 14, 2026Updated last month
- RLA is a tool for managing your RL experiments automatically☆72Feb 7, 2023Updated 3 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆56Dec 27, 2023Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆208Nov 26, 2024Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,172Jul 8, 2025Updated 7 months ago
- ☆296Feb 15, 2024Updated 2 years ago
- Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback☆1,585Nov 24, 2025Updated 3 months ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 2 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆321Nov 16, 2025Updated 3 months ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆22Dec 29, 2024Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,321Feb 6, 2026Updated 3 weeks ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆710May 18, 2024Updated last year
- ☆173Oct 9, 2023Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆369Mar 16, 2023Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Apr 3, 2023Updated 2 years ago
- A collection of LLM with RL papers☆278Apr 24, 2024Updated last year
- PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )☆2,518Mar 13, 2025Updated 11 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,725Feb 16, 2026Updated last week