26 citations · 39 across the 21 of their papers we have counts for
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math.OC2019
Robust Product-line Pricing under Generalized Extreme Value Models
Tien Mai, Patrick Jaillet
We study robust versions of pricing problems where customers choose products according to a generalized extreme value (GEV) choice model, and the choice parameters are not known ex…
cs.LG2019★ 2 cited
Inverse Reinforcement Learning with Missing Data
Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low +1
We consider the problem of recovering an expert's reward function with inverse reinforcement learning (IRL) when there are missing/incomplete state-action pairs or observations in…
cs.LG2019★ 2 cited
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning
Tien Mai, Kennard Chan, Patrick Jaillet
We consider the problem of learning from demonstrated trajectories with inverse reinforcement learning (IRL). Motivated by a limitation of the classical maximum entropy model in ca…