173 citations · 509 across the 29 of their papers we have counts for
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cs.LG2020
Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
Xubo Lyu, Site Li, Seth Siriya +2
In this paper, a novel optimal control-based baseline function is presented for the policy gradient method in deep reinforcement learning (RL). The baseline is obtained by computin…
cs.LG2016★ 20 cited
Using Neural Networks to Compute Approximate and Guaranteed Feasible Hamilton-Jacobi-Bellman PDE Solutions
Frank Jiang, Glen Chou, Mo Chen +1
To sidestep the curse of dimensionality when computing solutions to Hamilton-Jacobi-Bellman partial differential equations (HJB PDE), we propose an algorithm that leverages a neura…