From the 1 of 5 linked papers with an AI index.
5 papers
Probing AI-generated physics solutions and preparing students to critique them
Nikhil Sanjay Borse, Amir Bralin, Sean Savage +1
This study examines Artificial Intelligence (AI)-generated physics solutions from two connected perspectives: how prompt design shapes these solutions and how students can be prepa…
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
The paper presents a multi‑objective framework that combines coevolved coordination behaviors with predefined compliance rules to enable teams of marine robots to perform tasks whi…
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…