1 citations · 1 across the 2 of their papers we have counts for
3 papers
SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations
Peter Crowley, Zachary Serlin, Tyler Paine +3
Inverse Reinforcement Learning (IRL) presents a powerful paradigm for learning complex robotic tasks from human demonstrations. However, most approaches make the assumption that ex…
Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions
Jordan Beason, Michael Novitzky, John Kliem +9
The objective of this work is to evaluate multi-agent artificial intelligence methods when deployed on teams of unmanned surface vehicles (USV) in an adversarial environment. Auton…
Vision-based navigation and obstacle avoidance via deep reinforcement learning
Paul Blum, Peter Crowley, George Lykotrafitis
Development of navigation algorithms is essential for the successful deployment of robots in rapidly changing hazardous environments for which prior knowledge of configuration is o…