21 citations · 71 across the 10 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 15 cited
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
Jeongho Kim, Jaeuk Shin, Insoon Yang
In this paper, we propose Q-learning algorithms for continuous-time deterministic optimal control problems with Lipschitz continuous controls. Our method is based on a new class of…
math.OC2020★ 5 cited
Hamilton-Jacobi-Bellman Equations for Maximum Entropy Optimal Control
Jeongho Kim, Insoon Yang
Maximum entropy reinforcement learning (RL) methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of existing…
eess.SY2020★ 14 cited
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization
Beomjun Kim, Jeongho Kim, Subin Huh +2
In this paper, we discuss a large-scale fleet management problem in a multi-objective setting. We aim to seek a receding horizon taxi dispatch solution that serves as many ride req…