4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Temporal-Differential Learning in Continuous Environments
Tao Bian, Zhong-Ping Jiang
In this paper, a new reinforcement learning (RL) method known as the method of temporal differential is introduced. Compared to the traditional temporal-difference learning method,…
eess.SY2020★ 4 cited
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation
Bo Pang, Tao Bian, Zhong-Ping Jiang
This paper studies the robustness of policy iteration in the context of continuous-time infinite-horizon linear quadratic regulation (LQR) problem. It is shown that Kleinman's poli…
math.OC2018
Continuous-Time Robust Dynamic Programming
Tao Bian, Zhong-Ping Jiang
This paper presents a new theory, known as robust dynamic pro- gramming, for a class of continuous-time dynamical systems. Different from traditional dynamic programming (DP) metho…