Emergent Behaviors in Multi-Agent Target Acquisition

no code implementations • 15 Dec 2022 • Piyush K. Sharma, Erin Zaroukian, Derrik E. Asher, Bryson Howell

Only limited studies and superficial evaluations are available on agents' behaviors and roles within a Multi-Agent System (MAS).

Reinforcement Learning (RL)

Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training

no code implementations • 29 Jul 2021 • Piyush K. Sharma, Rolando Fernandez, Erin Zaroukian, Michael Dorothy, Anjon Basak, Derrik E. Asher

Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks.

Multi-agent Reinforcement Learning reinforcement-learning +1