Reinforcement Learning with Function-Valued Action Spaces for Partial
Differential Equation Control

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control

13 June 2018

Amir-massoud Farahmand

Papers citing "Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control"

13 / 13 papers shown

Title
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 78 155 0 19 Apr 2018
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations Weinan E Jiequn Han Arnulf Jentzen 119 797 0 15 Jun 2017
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning Francois Belletti Daniel Haziza G. Gomes Alexandre M. Bayen 42 139 0 30 Jan 2017
Lipschitz Properties for Deep Convolutional Networks R. Balan Maneesh Kumar Singh Dongmian Zou 74 47 0 18 Jan 2017
Guided Policy Search as Approximate Mirror Descent William H. Montgomery Sergey Levine 69 125 0 15 Jul 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 66 574 0 24 Dec 2015
Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions P. Sunehag Richard Evans Gabriel Dulac-Arnold Yori Zwols D. Visentin Ben Coppin 64 43 0 03 Dec 2015
Deep Reinforcement Learning with a Natural Language Action Space Ji He Jianshu Chen Xiaodong He Jianfeng Gao Lihong Li Li Deng Mari Ostendorf 76 245 0 14 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 84 3,406 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,764 0 19 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 450 43,277 0 11 Feb 2015
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold Ludovic Denoyer Philippe Preux Patrick Gallinari OffRL 101 24 0 29 Feb 2012

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