Multi-Agent Q-Learning via Best Choice Dynamics
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3612969
Abstract: Motivated by multi-agent Q-learning scenarios, this paper introduces a distributed action selection algorithm that relies on individual agents interacting with local neighbors to learn a joint action. The algorithm, termed Best Choice Dynamics, has each… read more here.
Keywords: agent learning; learning via; best choice; multi agent ... See more keywords
Dual Agent Learning Based Aerial Trajectory Tracking
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3560841
Abstract: This paper presents a novel reinforcement learning framework for trajectory tracking of autonomous aerial vehicles in cluttered environments using a dual-agent architecture. Traditional optimization methods for trajectory tracking face significant computational challenges and lack robustness… read more here.
Keywords: agent learning; trajectory tracking; learning based; trajectory ... See more keywords