ISR Lab
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Jingliang Duan
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Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
Belief State Separated Reinforcement Learning for Autonomous Vehicle Decision Making under Uncertainty
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning
Reinforced Optimal Estimator
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