Farama-Foundation / MAgentLinks
An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments
☆194Updated 2 years ago
Alternatives and similar repositories for MAgent
Users that are interested in MAgent are comparing it to the libraries listed below
Sorting:
- A collection of multi agent environments based on OpenAI gym.☆607Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆397Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 10 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆319Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆209Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- multi-agent deep reinforcement learning for networked system control.☆420Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆436Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆236Updated 4 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆159Updated 2 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 9 months ago
- Code for Weighted QMIX☆138Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆710Updated 2 years ago
- ☆121Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆533Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- ☆256Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆617Updated 10 months ago
- There will be updates later☆84Updated 6 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆720Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆415Updated 4 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year
- Multi-Objective Reinforcement Learning☆282Updated 4 years ago