geek-ai / MAgentView external linksLinks
A Platform for Many-Agent Reinforcement Learning
☆1,757Oct 22, 2022Updated 3 years ago
Alternatives and similar repositories for MAgent
Users that are interested in MAgent are comparing it to the libraries listed below
Sorting:
- 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
- Paper list of multi-agent reinforcement learning (MARL)☆4,707Nov 19, 2025Updated 2 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,157Dec 8, 2022Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆415Mar 11, 2020Updated 5 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆320Nov 16, 2025Updated 2 months ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Oct 21, 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
- 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
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785May 29, 2022Updated 3 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆70Sep 13, 2017Updated 8 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,303Feb 6, 2026Updated last week
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- DGN Code☆363Mar 25, 2023Updated 2 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆779Dec 19, 2023Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,040Jun 10, 2023Updated 2 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆826Apr 2, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,651Aug 1, 2024Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,312Jul 31, 2024Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,876May 29, 2022Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,471Dec 7, 2022Updated 3 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆547Dec 14, 2023Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,276Jan 4, 2021Updated 5 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,019Mar 13, 2019Updated 6 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,398Dec 15, 2025Updated 2 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,406Apr 16, 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
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,773Jul 30, 2024Updated last year
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,682Updated this week
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,847Nov 4, 2024Updated last year
- TensorFlow Reinforcement Learning☆3,135Dec 8, 2022Updated 3 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Apr 1, 2019Updated 6 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Oct 13, 2017Updated 8 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆688Jun 5, 2018Updated 7 years ago
- A collection of multi agent environments based on OpenAI gym.☆629Jul 7, 2024Updated last year
- Python Implementation of Reinforcement Learning: An Introduction☆14,555Aug 9, 2024Updated last year
- For deep RL and the future of AI.☆1,504Mar 1, 2024Updated last year
- 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
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,884Jul 18, 2024Updated last year