Paper list of multi-agent reinforcement learning (MARL)
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Updated
May 1, 2024
Paper list of multi-agent reinforcement learning (MARL)
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
OpenDILab Decision AI Engine
For deep RL and the future of AI.
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
A suite of test scenarios for multi-agent reinforcement learning.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
A selection of state-of-the-art research materials on decision making and motion planning.
Lightweight multi-agent gridworld Gym environment
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Multi-Agent Reinforcement Learning (MARL) papers with code
Multi-Agent Reinforcement Learning (MARL) papers
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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