Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces

26 May 2014

Papers citing "Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces"

24 / 24 papers shown

Title
Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering Yuki Akiyama Konstantinos Slavakis 40 1 0 14 Sep 2023
Toward Efficient Gradient-Based Value Estimation Arsalan Sharifnassab R. Sutton 58 3 0 31 Jan 2023
Regularized Q-learning Han-Dong Lim Donghwan Lee 67 11 0 11 Feb 2022
An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment Sina Ghiassian R. Sutton AAML OffRL 87 6 0 10 Sep 2021
An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task Sina Ghiassian R. Sutton AAML OffRL 78 5 0 02 Jun 2021
Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian Andrew Patterson Shivam Garg Dhawal Gupta Adam White Martha White 172 42 0 01 Jul 2020
Borrowing From the Future: Addressing Double Sampling in Model-free Control Yuhua Zhu Zachary Izzo Lexing Ying 22 4 0 11 Jun 2020
Finite-Sample Analysis of Proximal Gradient TD Algorithms Bo Liu Ji Liu Mohammad Ghavamzadeh Sridhar Mahadevan Marek Petrik 70 158 0 06 Jun 2020
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents Dong-hwan Lee Niao He Parameswaran Kamalaruban Volkan Cevher 52 89 0 01 Dec 2019
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang Bo Liu Hengshuai Yao Shimon Whiteson OffRL 104 8 0 11 Nov 2019
Zap Q-Learning With Nonlinear Function Approximation Shuhang Chen Adithya M. Devraj Fan Lu Ana Bušić Sean P. Meyn 64 20 0 11 Oct 2019
A generalization of regularized dual averaging and its dynamics Shih-Kang Chao Guang Cheng 51 18 0 22 Sep 2019
Entropic Regularization of Markov Decision Processes Boris Belousov Jan Peters 73 24 0 06 Jul 2019
Target-Based Temporal Difference Learning Donghwan Lee Niao He OOD 75 31 0 24 Apr 2019
Scalable Bilinear $π$ Learning Using State and Action Features Yichen Chen Lihong Li Mengdi Wang 83 46 0 27 Apr 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 88 69 0 29 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai Albert Eaton Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song 87 25 0 29 Dec 2017
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning Huizhen Yu OffRL 99 32 0 27 Dec 2017
On Generalized Bellman Equations and Temporal-Difference Learning Huizhen Yu A. R. Mahmood R. Sutton 118 29 0 14 Apr 2017
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning Yichen Chen Mengdi Wang 90 64 0 08 Dec 2016
Accelerated Gradient Temporal Difference Learning Yangchen Pan Adam White Martha White 40 27 0 28 Nov 2016
Investigating practical linear temporal difference learning Adam White Martha White OffRL 91 41 0 28 Feb 2016
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize Huizhen Yu 79 30 0 23 Nov 2015
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems N. Komodakis J. Pesquet 117 398 0 20 Jun 2014