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cs.LG2024
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
Vanshaj Khattar, Ming Jin
Offline reinforcement learning (RL) is a promising approach for many control applications but faces challenges such as limited data coverage and value function overestimation. In t…
cs.LG2024★ 2 cited
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel +2
Meta-reinforcement learning has widely been used as a learning-to-learn framework to solve unseen tasks with limited experience. However, the aspect of constraint violations has no…