2 papers
cs.MA2025
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
Aditya Kapoor, Benjamin Freed, Howie Choset +1
Multi-agent proximal policy optimization (MAPPO) has recently demonstrated state-of-the-art performance on challenging multi-agent reinforcement learning tasks. However, MAPPO stil…
cs.RO2024
Measure Preserving Flows for Ergodic Search in Convoluted Environments
Albert Xu, Bhaskar Vundurthy, Geordan Gutow +3
Autonomous robotic search has important applications in robotics, such as the search for signs of life after a disaster. When \emph{a priori} information is available, for example…