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20202026
most citedReward Biased Maximum Likelihood Estimation for Reinforcement Learning

6 citations · 9 across the 5 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs

Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete +1

We consider the infinite-horizon linear Markov Decision Processes (MDPs), where the transition probabilities of the dynamic model can be linearly parameterized with the help of a p…

eess.SY2023★ 1 cited

Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs

Rahul Singh, Akshay Mete, Avik Kar +1

Minimum variance controllers have been employed in a wide-range of industrial applications. A key challenge experienced by many adaptive controllers is their poor empirical perform…