Trending repositories for topic multiagent-reinforcement-learning

Paper list of multi-agent reinforcement learning (MARL)

Paper list of multi-agent reinforcement learning (MARL)

Paper list of multi-agent reinforcement learning (MARL)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

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...

Multi-Agent Reinforcement Learning with JAX

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...

Multi-Agent Reinforcement Learning (MARL) papers with code

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Paper list of multi-agent reinforcement learning (MARL)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Multi-Agent Reinforcement Learning with JAX

Paper list of multi-agent reinforcement learning (MARL)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Multi-Agent Reinforcement Learning with JAX

Multi-Agent Reinforcement Learning (MARL) papers with code

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

A suite of test scenarios for multi-agent reinforcement learning.

Multi-Agent Reinforcement Learning (MARL) papers

For deep RL and the future of AI.

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...

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

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...

🏆 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 C...

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals...

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Multi-Agent Reinforcement Learning with JAX

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

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals...

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...

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

Multi-Agent Reinforcement Learning (MARL) papers with code

Multi-Agent Reinforcement Learning (MARL) papers

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

A suite of test scenarios for multi-agent reinforcement learning.

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Paper list of multi-agent reinforcement learning (MARL)

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

🏆 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 C...

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

For deep RL and the future of AI.

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...

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

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. The Most Comprehensive Reinforcement Learning Framework B.P.

Multi-Agent Reinforcement Learning with JAX

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

For deep RL and the future of AI.

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Multi-Agent Reinforcement Learning (MARL) papers

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

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...

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

Lightweight multi-agent gridworld Gym environment

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

🏆 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 C...

Reading list for adversarial perspective and robustness in deep reinforcement learning.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals...

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Multi-Agent Reinforcement Learning with JAX

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...

UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management

Experimentation with Regularized Nash Dynamics on a GPU accelerated game

Multi-Agent Reinforcement Learning (MARL) papers with code

A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Multi-Agent Reinforcement Learning (MARL) papers

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

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.

IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

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

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

🏆 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 C...

Total War Battle simulator for AI research

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario