most citedCombining Reinforcement Learning with Model Predictive Control for On-Ramp Merging

4 citations · 5 across the 3 of their papers we have counts for

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cs.LG2021

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation

Anna Winnicki, Joseph Lubars, Michael Livesay +1

Function approximation is widely used in reinforcement learning to handle the computational difficulties associated with very large state spaces. However, function approximation in…

cs.LG2021★ 1 cited

Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure

Joseph Lubars, Anna Winnicki, Michael Livesay +1

We consider Markov Decision Processes (MDPs) in which every stationary policy induces the same graph structure for the underlying Markov chain and further, the graph has the follow…