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A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Created
2022-02-01
1,426 commits to main branch, last one 16 hours ago
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Created
2021-03-30
7,103 commits to develop branch, last one a day ago
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Created
2021-02-06
165 commits to master branch, last one 14 days ago
Multi-Agent Reinforcement Learning (MARL) papers with code
Created
2021-05-10
56 commits to main branch, last one about a year ago
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 ...
Created
2022-05-12
552 commits to main branch, last one a day ago
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Created
2021-05-12
71 commits to main branch, last one about a year ago
Multi-Agent Reinforcement Learning (MARL) papers
Created
2021-05-14
63 commits to main branch, last one about a year ago
A collection of MARL benchmarks based on TorchRL
Created
2023-08-22
80 commits to main branch, last one about a month ago
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...
Created
2022-01-26
126 commits to main branch, last one 7 months ago
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.
Created
2019-07-20
309 commits to master branch, last one 3 years ago
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...
Created
2019-01-17
367 commits to master branch, last one 2 years ago
[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
Created
2021-06-04
27 commits to main branch, last one about a year ago
18
57
unknown
2
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
Created
2020-10-30
30 commits to main branch, last one 3 years ago
Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearning
AlirezaShamsoshoara
16
56
gpl-3.0
2
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
Created
2020-12-28
14 commits to main branch, last one 3 years ago
A tool for aggregating and plotting MARL experiment data.
Created
2022-07-28
123 commits to main branch, last one about a month ago
A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
Created
2022-02-23
174 commits to main branch, last one about a year ago
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
Created
2021-01-02
87 commits to master branch, last one 5 months ago
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
Created
2023-05-21
27 commits to dev branch, last one 5 months ago