A Platform for Many-Agent Reinforcement Learning
☆1,760Oct 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,767Apr 9, 2024Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,843Feb 11, 2026Updated 3 months ago
- Mean Field Multi-Agent Reinforcement Learning☆420Mar 11, 2020Updated 6 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆333May 23, 2026Updated 2 weeks ago
- Python Multi-Agent Reinforcement Learning framework☆2,197Dec 8, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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"☆1,977Apr 1, 2024Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆747Apr 12, 2023Updated 3 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,356Feb 18, 2024Updated 2 years ago
- DGN Code☆369Mar 25, 2023Updated 3 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆70Sep 13, 2017Updated 8 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆749May 23, 2022Updated 4 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,433May 27, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆835Apr 2, 2023Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆795Dec 19, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,726Aug 1, 2024Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,064Jun 10, 2023Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆552Dec 14, 2023Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,901May 29, 2022Updated 4 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,306May 9, 2026Updated last month
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,744Sep 8, 2022Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆693Jun 5, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"☆1,805Jul 30, 2024Updated last year
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,025Mar 13, 2019Updated 7 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,462May 30, 2026Updated last week
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆360Apr 1, 2019Updated 7 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,479Dec 7, 2022Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆632Jul 7, 2024Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,020Jul 18, 2024Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆171Dec 8, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆233Oct 3, 2023Updated 2 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,879Mar 24, 2026Updated 2 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,425Apr 16, 2024Updated 2 years ago
- For deep RL and the future of AI.☆1,509Mar 1, 2024Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,029Jul 13, 2023Updated 2 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,676Aug 9, 2024Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆373Mar 16, 2023Updated 3 years ago