78 citations · 205 across the 14 of their papers we have counts for
3 papers · 1 filter
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
Eric Mazumdar, Roy Dong, Vicenç Rúbies Royo +2
We formulate a multi-armed bandit (MAB) approach to choosing expert policies online in Markov decision processes (MDPs). Given a set of expert policies trained on a state and actio…
Optimal Causal Imputation for Control
Roy Dong, Eric Mazumdar, S. Shankar Sastry
The widespread applicability of analytics in cyber-physical systems has motivated research into causal inference methods. Predictive estimators are not sufficient when analytics ar…
Inverse Risk-Sensitive Reinforcement Learning
Lillian J. Ratliff, Eric Mazumdar
We address the problem of inverse reinforcement learning in Markov decision processes where the agent is risk-sensitive. In particular, we model risk-sensitivity in a reinforcement…