3 papers
cs.RO2026
Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning
Josef Berman, Oren Gal
Coordinating micro-robotic swarms in realistic, time-dependent fluid environments remains a major challenge for biomedical and environmental applications. We present a hybrid CFD-M…
cs.RO2026
Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning
Elisei Shafer, Oren Gal
Autonomous Underwater Vehicles (AUVs) traditionally rely on complex, heavily engineered pipelines for perception, path planning, and motion control. This paper explores the feasibi…
cs.MA2026
Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering
Maxim Mednikov, Oren Gal
Real-world multi-agent reinforcement learning (MARL) systems must often operate under stale observations, stochastic communication delays, and intermittent packet loss. Policies tr…