1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Epistemic Robust Offline Reinforcement Learning
Abhilash Reddy Chenreddy, Erick Delage
Offline reinforcement learning learns policies from fixed datasets without further environment interaction. A key challenge in this setting is epistemic uncertainty, arising from l…
cs.LG2024★ 1 cited
End-to-end Conditional Robust Optimization
Abhilash Chenreddy, Erick Delage
The field of Contextual Optimization (CO) integrates machine learning and optimization to solve decision making problems under uncertainty. Recently, a risk sensitive variant of CO…
math.OC2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Utsav Sadana, Abhilash Chenreddy, Erick Delage +3
Recently there has been a surge of interest in operations research (OR) and the machine learning (ML) community in combining prediction algorithms and optimization techniques to so…