Statistics for topic multiagent-reinforcement-learning
RepositoryStats tracks 641,356 Github repositories, of these 35 are tagged with the multiagent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (25).
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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
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.
A suite of test scenarios for multi-agent reinforcement learning.
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...
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
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.
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...
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
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
Reading list for adversarial perspective and robustness in deep reinforcement learning.
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune...
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.
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
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...
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management