3 papers
cs.LG2026
Formulating Reinforcement Learning for Human-Robot Collaboration through Off-Policy Evaluation
Saurav Singh, Rodney Sanchez, Alexander Ororbia +1
Reinforcement learning (RL) has the potential to transform real-world decision-making systems by enabling autonomous agents to learn from experience. Deploying RL in real-world set…
cs.AI2025
Avoiding Death through Fear Intrinsic Conditioning
Rodney Sanchez, Ferat Sahin, Alexander Ororbia +1
Biological and psychological concepts have inspired reinforcement learning algorithms to create new complex behaviors that expand agents' capacity. These behaviors can be seen in t…
cs.CV2025
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
Prasanna Reddy Pulakurthi, Majid Rabbani, Jamison Heard +3
This work investigates Source-Free Domain Adaptation (SFDA), where a model adapts to a target domain without access to source data. A new augmentation technique, Shuffle PatchMix (…