2 papers
cs.AI2025
Dynamic Trust Calibration Using Contextual Bandits
Bruno M. Henrique, Eugene Santos
Trust calibration between humans and Artificial Intelligence (AI) is crucial for optimal decision-making in collaborative settings. Excessive trust can lead users to accept AI-gene…
cs.LG2025
Reward Distance Comparisons Under Transition Sparsity
Clement Nyanhongo, Bruno Miranda Henrique, Eugene Santos
Reward comparisons are vital for evaluating differences in agent behaviors induced by a set of reward functions. Most conventional techniques utilize the input reward functions to…