引用次数
引用: 120,973
H-指数: 91
I10-指数 : 210
出版物: 349
On ensuring that intelligent machines are well-behaved
Philip S Thomas , Bruno Castro da Silva , Andrew G Barto , Emma Brunskill
arXiv preprint arXiv:1708.05448
18
2017
Supervised actor-critic reinforcement learning
Michael T Rosenstein , Andrew G Barto , Jennie Si , Andy Barto
Learning and approximate dynamic programming: scaling up to the real world 359 -380
198
2004
Guidance in the use of adaptive critics for control
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 97 -124
47
2004
Robust reinforcement learning for heating, ventilation, and air conditioning control of buildings
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 517 -534
19
2004
Toward dynamic stochastic optimal power flow
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 561 -598
15
2004
Applications of approximate dynamic programming in power systems control
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 479 -515
11
2004
Helicopter flight control using direct neural dynamic programming
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 535 -559
9
2004
Multiobjective control problems by reinforcement learning
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 433 -461
4
2004
Hierarchical decision making
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 203 -232
3
2004
Reinforcement learning in large, high-dimensional state spaces
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 179 -202
1
2004
Technical Advances
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 233 -233
2004
The Linear Programming Approach to Approximate Dynamic Programming
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 153 -178
2004
Backpropagation Through Time and Derivative Adaptive CriticsA Common Framework for Comparison Portions of this chapter were previously published in [4, 7, 9, 1214, 23].
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 381 -404
2004
NearOptimal Control Through Reinforcement Learning and Hybridization
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 407 -432
2004
Learning and OptimizationFrom a System Theoretic Perspective
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 311 -335
2004
Control, Optimization, Security, and Selfhealing of Benchmark Power Systems-The views expressed here are those of the authors, Momoh (on leave from Howard University), and Zivi and not the official views of NSF and US Naval Academy, USA
Jennie Si , Andrew G Barto , Warren Buckler Powell , Don Wunsch
Wiley-IEEE Press 599 -637
2004
Cooperativity in networks of pattern recognizing stochastic learning automata
Andrew G Barto , P Anandan , Charles W Anderson
Adaptive and Learning Systems: Theory and Applications 235 -246
32
1986
Reinforcement learning for mixed open-loop and closed-loop control
Eric A Hansen , Andrew G Barto , Shlomo Zilberstein
Advances in Neural Information Processing Systems 9 (NIPS-97) 1026 -1032
48
1997
Handbook of Learning and Approximate Dynamic Programming
Jennie Si , Andrew G Barto , Warren B Powell , Don Wunsch
(2004)
902
2004
Efficient Skill Learning using Abstraction Selection.
George Dimitri Konidaris , Andrew G Barto
IJCAI 9 1107 -1112
106
2009
Richard S. Sutton George Konidaris Charles Anderson Roderic Grupen Scott Kuindersma Andrew Fagg Scott Niekum Özgür Şimşek Steven Bradtke Sridhar Mahadevan Richard L. Lewis Gianluca Baldassarre Theodore J. Perkins Amy McGovern Balaraman Ravindran Sarah Osentoski Marco Mirolli Nuttapong Chentanez Alicia Wolfe Matthew Botvinick