Statistics for topic multiagent-reinforcement-learning
RepositoryStats tracks 595,856 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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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
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...
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...
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
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
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
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...
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
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...
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
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 suite of test scenarios for multi-agent reinforcement learning.
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
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
Reading list for adversarial perspective and robustness in deep reinforcement learning.