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11/17/2020
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
We consider the problem of designing an algorithm to allow a car to auto...
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07/09/2020
Provably-Efficient Double Q-Learning
In this paper, we establish a theoretical comparison between the asympto...
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06/30/2020
Mixed Logit Models and Network Formation
The study of network formation is pervasive in economics, sociology, and...
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07/14/2019
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
We study two time-scale linear stochastic approximation algorithms, whic...
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01/25/2019
Almost Boltzmann Exploration
Boltzmann exploration is widely used in reinforcement learning to provid...
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09/12/2017