LantaoYu / MARL-PapersView external linksLinks
Paper list of multi-agent reinforcement learning (MARL)
☆4,707Nov 19, 2025Updated 2 months ago
Alternatives and similar repositories for MARL-Papers
Users that are interested in MARL-Papers are comparing it to the libraries listed below
Sorting:
- Python Multi-Agent Reinforcement Learning framework☆2,157Dec 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"☆2,724Apr 9, 2024Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,722Sep 8, 2022Updated 3 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,938Apr 1, 2024Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,757Oct 22, 2022Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆733Apr 12, 2023Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,325Feb 18, 2024Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,297Feb 6, 2026Updated last week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,884Jul 18, 2024Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785May 29, 2022Updated 3 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,266Nov 28, 2024Updated last year
- For deep RL and the future of AI.☆1,504Mar 1, 2024Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆688Jun 5, 2018Updated 7 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆415Sep 15, 2022Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,651Aug 1, 2024Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆415Mar 11, 2020Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,875May 29, 2022Updated 3 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,878Jul 13, 2023Updated 2 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,555Aug 9, 2024Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆686Sep 24, 2024Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,406Apr 16, 2024Updated last year
- An elegant PyTorch deep reinforcement learning library.☆10,198Dec 1, 2025Updated 2 months ago
- A collection of multi agent environments based on OpenAI gym.☆629Jul 7, 2024Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆287Sep 19, 2022Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆678Nov 26, 2019Updated 6 years ago
- multi-agent deep reinforcement learning for networked system control.☆438Sep 29, 2020Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Apr 1, 2019Updated 6 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆549Dec 14, 2023Updated 2 years ago
- Reinforcement learning resources curated☆9,575May 25, 2023Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆708May 18, 2024Updated last year
- Reinforcement Learning in PyTorch☆2,276Jan 4, 2021Updated 5 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,571Mar 24, 2023Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆779Dec 19, 2023Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,398Dec 15, 2025Updated last month
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,922Jul 25, 2024Updated last year
- Collection of reinforcement learning algorithms☆2,862Jun 17, 2024Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,040Jun 10, 2023Updated 2 years ago
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,775Jul 30, 2024Updated last year