引用次数
引用: 150,478
H-指数: 90
I10-指数 : 352
出版物: 537
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Richard S. Sutton , Kristopher De Asis , Silviu Pitis , Daniel Graves
arXiv: Learning
20
2019
Discounted Reinforcement Learning Is Not an Optimization Problem
Hengshuai Yao , Roshan Shariff , Niko Yasui , Abhishek Naik
arXiv: Artificial Intelligence
39
2019
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
Patrick M. Pilarski , Richard S. Sutton , Katya Kudashkina
arXiv: Artificial Intelligence
5
2020
Reactive Reinforcement Learning in Asynchronous Environments
Kory Wallace Mathewson , Patrick M. Pilarski , Jaden B. Travnik , Richard S. Sutton
Frontiers in Robotics and AI 5 79
12
2018
Average-Reward Off-Policy Policy Evaluation with Function Approximation.
Shimon Whiteson , Richard S. Sutton , Shangtong Zhang , Yi Wan
arXiv: Learning
2
2021
Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods
Richard S. Sutton , Jae Young Lee
Automatica 126 109421
1
2021
Planning with Expectation Models for Control.
Richard S. Sutton , Yi Wan , Abhishek Naik , Katya Kudashkina
arXiv: Artificial Intelligence
2021
Reward Is Enough
Doina Precup , Satinder Singh , Richard S. Sutton , David Silver
Artificial Intelligence 103535
282
2021
Reinforcement Learning for 3 vs. 2 Keepaway
Peter Stone , Richard S. Sutton , Satinder Singh
robot soccer world cup 249 -258
28
2001
Open Theoretical Questions in Reinforcement Learning
Richard S. Sutton
european conference on computational learning theory 11 -17
81
1999
Reinforcement Learning is Direct Adaptive Optimal Control
Richard S. Sutton , Andrew G. Barto , Ronald J. Williams
american control conference ( 28) 2143 -2146
710
1991
Associative search network: A reinforcement learning associative memory
Andrew G. Barto , Richard S. Sutton , Peter S. Brouwer
Biological Cybernetics 40 ( 3) 201 -211
149
1981
Experiments with reinforcement learning in problems with continuous state and action spaces
Juan C. Santamaria , Richard S. Sutton , Ashwin Ram
Adaptive Behavior 6 ( 2) 163 -217
403
1998
Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks
Vivek Veeriah , Shangtong Zhang , Richard S. Sutton
european conference on machine learning 445 -459
8
2017
Toward a modern theory of adaptive networks: Expectation and prediction.
Richard S. Sutton , Andrew G. Barto
Psychological Review 88 ( 2) 135 -170
1,697
1981
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Richard S. Sutton , Doina Precup , Satinder Singh
Artificial Intelligence 112 ( 1-2) 181 -211
2,012
1999
Reinforcement Learning in Artificial Intelligence
Andrew G. Barto , Richard S. Sutton
Advances in psychology 121 358 -386
48
1997
Beyond reward: the problem of knowledge and data
Richard S. Sutton
inductive logic programming 2 -6
3
2011
Associative Learning from Replayed Experience
Elliot A. Ludvig , Mahdieh S. Mirian , E. James Kehoe , Richard S. Sutton
bioRxiv 100800
17
2017
Temporal-difference search in computer Go
David Silver , Richard S. Sutton , Martin Müller
Machine Learning 87 ( 2) 183 -219
137
2012
Andrew Barto Satinder Singh Doina Precup Patrick M. Pilarski Charles Anderson Adam White Csaba Szepesvari Shalabh Bhatnagar A. Rupam Mahmood Thomas Degris Hamid Maei David Silver Martha White David McAllester Joseph Modayil Yishay Mansour Elliot A. Ludvig E James Kehoe Mohammad Ghavamzadeh Peter Stone