23 citations · 55 across the 9 of their papers we have counts for
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cs.LG2024
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
Siddhant Bhambri, Amrita Bhattacharjee, Durgesh Kalwar +3
Reinforcement Learning (RL) suffers from sample inefficiency in sparse reward domains, and the problem is further pronounced in case of stochastic transitions. To improve the sampl…
cs.LG2019★ 23 cited
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi +1
Machine learning has seen tremendous advances in the past few years, which has lead to deep learning models being deployed in varied applications of day-to-day life. Attacks on suc…