Trending repositories for topic multiagent-reinforcement-learning
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers with code
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterpri...
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
A suite of test scenarios for multi-agent reinforcement learning.
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior...
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 Coop...
Multi-Agent Reinforcement Learning (MARL) papers
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Reading list for adversarial perspective and robustness in deep reinforcement learning.
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterpri...
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers with code
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior...
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 Coop...
Multi-Agent Reinforcement Learning (MARL) papers
Reading list for adversarial perspective and robustness in deep reinforcement learning.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
A suite of test scenarios for multi-agent reinforcement learning.
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Reading list for adversarial perspective and robustness in deep reinforcement learning.
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterpri...
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A suite of test scenarios for multi-agent reinforcement learning.
Multi-Agent Reinforcement Learning (MARL) papers with code
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior...
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
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 Coop...
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterpri...
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior...
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
Multi-Agent Reinforcement Learning (MARL) papers with code
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
A suite of test scenarios for multi-agent reinforcement learning.
Lightweight multi-agent gridworld Gym environment
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
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 Coop...
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python