Statistics for topic multiagent-reinforcement-learning
RepositoryStats tracks 609,853 Github repositories, of these 32 are tagged with the multiagent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (22).
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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 suite of test scenarios for multi-agent reinforcement learning.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
A suite of test scenarios for multi-agent reinforcement learning.
Multi-Agent Reinforcement Learning (MARL) papers with code
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
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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...
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
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
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
A suite of test scenarios for multi-agent reinforcement learning.
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
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