3 papers
cs.MA2026
Entropy-Augmented Multi-Objective Policy Optimization in Multiagent Systems
Jamie Santos, Ayhan Alp Aydeniz, Raghav Thakar +1
Autonomous agent teams deployed in settings such as marine and extraterrestrial outposts must coordinate actions to achieve optimal outcomes across multiple competing objectives. M…
cs.MA2026
Counterfactual Conditional Likelihood Rewards for Multiagent Exploration
Ayhan Alp Aydeniz, Robert Loftin, Kagan Tumer
Efficient exploration is critical for multiagent systems to discover coordinated strategies, particularly in open-ended domains such as search and rescue or planetary surveying. Ho…
cs.MA2024
Safe Multiagent Coordination via Entropic Exploration
Ayhan Alp Aydeniz, Enrico Marchesini, Robert Loftin +2
Many real-world multiagent learning problems involve safety concerns. In these setups, typical safe reinforcement learning algorithms constrain agents' behavior, limiting explorati…