Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
☆359Apr 1, 2019Updated 7 years ago
Alternatives and similar repositories for learning-to-communicate-pytorch
Users that are interested in learning-to-communicate-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning☆448Feb 21, 2019Updated 7 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆232Oct 3, 2023Updated 2 years ago
- ☆91Oct 23, 2021Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆805May 29, 2022Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,185Dec 8, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆692Jun 5, 2018Updated 7 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆746Apr 12, 2023Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆419Mar 11, 2020Updated 6 years ago
- multi-agent deep reinforcement learning for networked system control.☆443Sep 29, 2020Updated 5 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Dec 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"☆2,758Apr 9, 2024Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,811Feb 11, 2026Updated 2 months ago
- 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
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,739Sep 8, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Repo for reproduction of sequential social dilemmas☆415Mar 6, 2025Updated last year
- DGN Code☆369Mar 25, 2023Updated 3 years ago
- PyTorch implementation of CommNet☆37Dec 2, 2017Updated 8 years ago
- Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736☆220Jan 3, 2017Updated 9 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆746May 23, 2022Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Jan 13, 2023Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Nov 11, 2017Updated 8 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,348Feb 18, 2024Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,762Oct 22, 2022Updated 3 years ago
- 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.
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,965Apr 1, 2024Updated 2 years ago
- Reinforcement Learning approaches for learning communication in Multi Agent Systems.☆18Jan 27, 2019Updated 7 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆150Apr 13, 2023Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,898May 29, 2022Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆793Dec 19, 2023Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆690Nov 26, 2019Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Dec 8, 2022Updated 3 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆356May 12, 2020Updated 5 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Apr 4, 2021Updated 5 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.
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Dec 7, 2020Updated 5 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆19Jun 17, 2021Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆630Jul 7, 2024Updated last year
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 3 years ago
- ☆11Aug 13, 2020Updated 5 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆219Jun 19, 2019Updated 6 years ago