marl topic
pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
SQDDPG
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 R...
MARL-papers-with-code
Multi-Agent Reinforcement Learning (MARL) papers with code
MARL-resources-collection
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
Multi-agent-reinforcement-learning
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
CDS
[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
VectorizedMultiAgentSimulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of...