5 papers
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…
Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy
Everardo Gonzalez, Tyler M. Paine, Manuel Agraz Vallejo +3
Collaborative robots are well-suited to maritime missions that benefit from coordination, such as the exploration of unknown reef structures, inspection of subsea infrastructure, o…
Post Hoc Extraction of Pareto Fronts for Continuous Control
Raghav Thakar, Gaurav Dixit, Kagan Tumer
Agents in the real world must often balance multiple objectives, such as speed, stability, and energy efficiency in continuous control. To account for changing conditions and prefe…
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…
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…