Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
☆800May 29, 2022Updated 3 years ago
Alternatives and similar repositories for MAAC
Users that are interested in MAAC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆690Nov 26, 2019Updated 6 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,177Dec 8, 2022Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,733Sep 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"☆2,754Apr 9, 2024Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,959Apr 1, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆692Jun 5, 2018Updated 7 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆680Jul 16, 2022Updated 3 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆230Oct 3, 2023Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆743Apr 12, 2023Updated 3 years ago
- DGN Code☆366Mar 25, 2023Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆743May 23, 2022Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆419Mar 11, 2020Updated 6 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,957Jul 18, 2024Updated last year
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆359Apr 1, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Paper list of multi-agent reinforcement learning (MARL)☆4,793Feb 11, 2026Updated 2 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆170Dec 8, 2022Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆532Jul 21, 2023Updated 2 years ago
- ☆49Apr 15, 2020Updated 6 years ago
- multi-agent deep reinforcement learning for networked system control.☆442Sep 29, 2020Updated 5 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,342Feb 18, 2024Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆707Sep 24, 2024Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,761Oct 22, 2022Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆612Nov 11, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆66May 22, 2021Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆551Dec 14, 2023Updated 2 years ago
- ☆54Jan 26, 2019Updated 7 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆371Mar 16, 2023Updated 3 years ago
- ☆123Feb 16, 2023Updated 3 years ago
- ☆78Jun 2, 2024Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Dec 17, 2019Updated 6 years ago
- The code for maddpg using pytorch☆168Oct 5, 2020Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,280Feb 9, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,375Feb 6, 2026Updated 2 months ago
- ☆113Oct 25, 2021Updated 4 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆132Aug 14, 2023Updated 2 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,303Nov 28, 2024Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆121Nov 4, 2024Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆173Oct 24, 2023Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,893May 29, 2022Updated 3 years ago