Statistics for topic multiagent-reinforcement-learning
RepositoryStats tracks 518,991 Github repositories, of these 27 are tagged with the multiagent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (19).
Stargazers over time for topic multiagent-reinforcement-learning
Most starred repositories for topic multiagent-reinforcement-learning (view more)
Trending repositories for topic multiagent-reinforcement-learning (view more)
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 Coop...
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
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...
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
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 solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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...
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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...
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...
Lightweight multi-agent gridworld Gym environment
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
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.
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
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
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...
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
Multi-Agent Reinforcement Learning (MARL) papers with code
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Multi-Agent Reinforcement Learning (MARL) papers