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cs.LG2025
Scalable Policy-Based RL Algorithms for POMDPs
Ameya Anjarlekar, Rasoul Etesami, R Srikant
The continuous nature of belief states in POMDPs presents significant computational challenges in learning the optimal policy. In this paper, we consider an approach that solves a…
cs.LG2025
LLM Unlearning using Gradient Ratio-Based Influence Estimation and Noise Injection
Ameya Anjarlekar, Sandeep Pombra
The growing legal and ethical scrutiny of large language models (LLMs) necessitates effective machine unlearning, particularly for sensitive or unauthorized data. Existing empirica…