A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Sep 5, 2024 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
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 challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Multi-Agent Reinforcement Learning (MARL) papers with code
A collection of MARL benchmarks based on TorchRL
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers
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.
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''.
[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
A tool for aggregating and plotting MARL experiment data.
A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
Emergence of complex strategies through multiagent competition
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
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