3 papers
cs.IR2026
Physics-Informed Neuro-Symbolic Recommender System: A Dual-Physics Approach for Personalized Nutrition
Chayan Banerjee
Traditional e-commerce recommender systems primarily optimize for user engagement and purchase likelihood, often neglecting the rigid physiological constraints required for human h…
eess.SY2025
Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths
Anirud Nandakumar, Chayan Banerjee, Lelitha Devi Vanajakshi
Efficient traffic signal control (TSC) is crucial for reducing congestion, travel delays, pollution, and for ensuring road safety. Traditional approaches, such as fixed signal cont…
cs.LG2025
Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
Mohammad Saif Nazir, Chayan Banerjee
Reinforcement learning (RL) often struggles with reward misalignment, where agents optimize given rewards but fail to exhibit the desired behaviors. This arises when the reward fun…