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Overview on Large Scale Multiagent Reinforcement Learning Control

Swarming is a method of operation where multiple autonomous systems act as a cohesive unit by actively coordinating their ... A C2SR Colloquia Series Distinguished Webinar Series. The Distinguished Speaker Webinar Series is aimed at advancing the ... We've observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through ... Unmanned aerial vehicles (UAVs) are rapidly spreading in many different fields, setting new challenges, risks, and opportunities ... Our 5-min paper series aims to overview recent published works in about 5 min. The pre-print is available on arXiv: ... This video corresponds to our paper, Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams, ...

Tamer Başar (University of Illinois Urbana-Champaign) ... Deep learning is enabling tremendous breakthroughs in the power of End-to-End Reinforcement Learning for Multi-Agent Continuous Control Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé. Support the channel by considering to this new channel: ...

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Last Updated: May 24, 2026

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Search Coverage: Large Scale Multiagent Reinforcement Learning Control

Large Scale Multiagent Reinforcement Learning Control Information Center

Overview on Large Scale Multiagent Reinforcement Learning Control

Important Facts

Developments

Featured Video Reports & Highlights

Large-Scale, Multiagent, Reinforcement Learning Control

Distributed Multi-agent Reinforcement Learning Control for CPS Opportunities and Challenges

Multi-Agent Hide and Seek

A Large-scale Multi UAVs Reinforcement Learning Framework with Multiple Abstraction Layers

Deep Dive

Future Outlook

Large-Scale, Multiagent, Reinforcement Learning Control

Distributed Multi-agent Reinforcement Learning Control for CPS Opportunities and Challenges

Multi-Agent Hide and Seek

A Large-scale Multi UAVs Reinforcement Learning Framework with Multiple Abstraction Layers

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach

Structure Exploiting Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning Towards Zero-Shot Communication

Multi-Agent Formation Control using Reinforcement Learning

Multi-Agent Competitive Reinforcement Learning

Introduction to Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning in the High Population Regime

Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning

Deep Reinforcement Learning for Control of Large-scale Communication Infrastructures

Stefano V. Albrecht: Deep Reinforcement Learning for Multi-Agent Interaction

Deep Reinforcement Learning: Neural Networks for Learning Control Laws

End-to-End Reinforcement Learning for Multi-Agent Continuous Control

Deep Reinforcement Learning for Large-Scale Epidemic Control

AAAI: Intelligent Planning for Large-Scale Multi-Agent System

Research 3| Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach