Andrew G. Barto

	2009
61		George Konidaris, Andrew G. Barto: Efficient Skill Learning using Abstraction Selection. IJCAI 2009: 1107-1112
	2008
60		Özgür Simsek, Andrew G. Barto: Skill Characterization Based on Betweenness. NIPS 2008: 1497-1504
	2007
59		Ivon Arroyo, Kimberly Ferguson, Jeffrey Johns, Toby Dragon, Hasmik Meheranian, Don Fisher, Andrew G. Barto, Sridhar Mahadevan, Beverly Park Woolf: Repairing Disengagement With Non-Invasive Interventions. AIED 2007: 195-202
58		Balaraman Ravindran, Andrew G. Barto, Vimal Mathew: Deictic Option Schemas. IJCAI 2007: 1023-1028
57		George Konidaris, Andrew G. Barto: Building Portable Options: Skill Transfer in Reinforcement Learning. IJCAI 2007: 895-900
56		Anders Jonsson, Andrew G. Barto: Active Learning of Dynamic Bayesian Networks in Markov Decision Processes. SARA 2007: 273-284
55		Christopher M. Vigorito, Deepak Ganesan, Andrew G. Barto: Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks. SECON 2007: 21-30
54		Andrew G. Barto: Temporal difference learning. Scholarpedia 2(11): 1604 (2007)
	2006
53		Alicia P. Wolfe, Andrew G. Barto: Decision Tree Methods for Finding Reusable MDP Homomorphisms. AAAI 2006
52		George Konidaris, Andrew G. Barto: Autonomous shaping: knowledge transfer in reinforcement learning. ICML 2006: 489-496
51		Özgür Simsek, Andrew G. Barto: An intrinsic reward mechanism for efficient exploration. ICML 2006: 833-840
50		Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Park Woolf, Andrew G. Barto: Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels. Intelligent Tutoring Systems 2006: 453-462
49		George Konidaris, Andrew G. Barto: An Adaptive Robot Motivational System. SAB 2006: 346-356
48		Anders Jonsson, Andrew G. Barto: Causal Graph Based Decomposition of Factored MDPs. Journal of Machine Learning Research 7: 2259-2301 (2006)
47		Michael T. Rosenstein, Andrew G. Barto, Richard E. A. Van Emmerik: Learning at the level of synergies for a robot weightlifter. Robotics and Autonomous Systems 54(8): 706-717 (2006)
	2005
46		Anders Jonsson, Andrew G. Barto: A causal approach to hierarchical decomposition of factored MDPs. ICML 2005: 401-408
45		Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto: Identifying useful subgoals in reinforcement learning by local graph partitioning. ICML 2005: 816-823
44		Özgür Simsek, Andrew G. Barto: Learning Skills in Reinforcement Learning Using Relative Novelty. SARA 2005: 367-374
	2004
43		Özgür Simsek, Andrew G. Barto: Using relative novelty to identify useful temporal abstractions in reinforcement learning. ICML 2004
42		Satinder P. Singh, Andrew G. Barto, Nuttapong Chentanez: Intrinsically Motivated Reinforcement Learning. NIPS 2004
	2003
41		Balaraman Ravindran, Andrew G. Barto: Relativized Options: Choosing the Right Transformation. ICML 2003: 608-615
40		Balaraman Ravindran, Andrew G. Barto: SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes. IJCAI 2003: 1011-1018
39		Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(1-2): 41-77 (2003)
38		Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(4): 341-379 (2003)
	2002
37		Marc Pickett, Andrew G. Barto: PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. ICML 2002: 506-513
36		Balaraman Ravindran, Andrew G. Barto: Model Minimization in Hierarchical Reinforcement Learning. SARA 2002: 196-211
35		Theodore J. Perkins, Andrew G. Barto: Lyapunov Design for Safe Reinforcement Learning. Journal of Machine Learning Research 3: 803-832 (2002)
34		Amy McGovern, J. Eliot B. Moss, Andrew G. Barto: Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. Machine Learning 49(2-3): 141-160 (2002)
33		Michael Kositsky, Andrew G. Barto: The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback. Neurocomputing 44-46: 889-895 (2002)
	2001
32		Amy McGovern, Andrew G. Barto: Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. ICML 2001: 361-368
31		Theodore J. Perkins, Andrew G. Barto: Lyapunov-Constrained Action Sets for Reinforcement Learning. ICML 2001: 409-416
30		Theodore J. Perkins, Andrew G. Barto: Heuristic Search in Infinite State Spaces Guided by Lyapunov Analysis. IJCAI 2001: 242-247
29		Michael T. Rosenstein, Andrew G. Barto: Robot Weightlifting By Direct Policy Search. IJCAI 2001: 839-846
28		Michael Kositsky, Andrew G. Barto: The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay. NIPS 2001: 43-50
	2000
27		Robert Moll, Theodore J. Perkins, Andrew G. Barto: Machine Learning for Subproblem Selection. ICML 2000: 615-622
26		Jette Randløv, Andrew G. Barto, Michael T. Rosenstein: Combining Reinforcement Learning with a Local Control Algorithm. ICML 2000: 775-782
25		Anders Jonsson, Andrew G. Barto: Automated State Abstraction for Options using the U-Tree Algorithm. NIPS 2000: 1054-1060
	1999
24		Andrew G. Barto, Andrew H. Fagg, Nathan Sitkoff, James C. Houk: A Cerebellar Model of Timing and Prediction in the Control of Reaching. Neural Computation 11(3): 565-594 (1999)
	1998
23		Robert Moll, Andrew G. Barto, Theodore J. Perkins, Richard S. Sutton: Learning Instance-Independent Value Functions to Enhance Local Search. NIPS 1998: 1017-1023
22		Richard S. Sutton, Andrew G. Barto: Reinforcement Learning: An Introduction. IEEE Transactions on Neural Networks 9(5): 1054-1054 (1998)
21		Robert H. Crites, Andrew G. Barto: Elevator Group Control Using Multiple Reinforcement Learning Agents. Machine Learning 33(2-3): 235-262 (1998)
	1997
20		Jeffrey F. Monaco, David G. Ward, Andrew G. Barto: Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments. NIPS 1997
	1996
19		Michael O. Duff, Andrew G. Barto: Local Bandit Approximation for Optimal Learning Problems. NIPS 1996: 1019-1025
18		Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein: Reinforcement Learning for Mixed Open-loop and Closed-loop Control. NIPS 1996: 1026-1032
17		Ron Papka, James P. Callan, Andrew G. Barto: Text-Based Information Retrieval Using Exponentiated Gradient Descent. NIPS 1996: 3-9
16		Steven J. Bradtke, Andrew G. Barto: Linear Least-Squares Algorithms for Temporal Difference Learning. Machine Learning 22(1-3): 33-57 (1996)
	1995
15		Robert H. Crites, Andrew G. Barto: Improving Elevator Performance Using Reinforcement Learning. NIPS 1995: 1017-1023
14		Andrew G. Barto, James C. Houk: A Predictive Switching Model of Cerebellar Movement Control. NIPS 1995: 138-144
13		Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh: Learning to Act Using Real-Time Dynamic Programming. Artif. Intell. 72(1-2): 81-138 (1995)
	1994
12		Vijaykumar Gullapalli, Andrew G. Barto, Roderic A. Grupen: Learning Admittance Mappings for Force-Guided Assembly. ICRA 1994: 2633-2638
11		Robert H. Crites, Andrew G. Barto: An Actor/Critic Algorithm that is Equivalent to Q-Learning. NIPS 1994: 401-408
	1993
10		Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto: Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Machine Learning: From Theory to Applications 1993: 175-202
9		Satinder P. Singh, Andrew G. Barto, Roderic A. Grupen, Christopher I. Connolly: Robust Reinforcement Learning in Motion Planning. NIPS 1993: 655-662
8		Andrew G. Barto, Michael O. Duff: Monte Carlo Matrix Inversion and Reinforcement Learning. NIPS 1993: 687-694
7		Vijaykumar Gullapalli, Andrew G. Barto: Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms. NIPS 1993: 695-702
	1991
6		N. E. Berthier, Satinder P. Singh, Andrew G. Barto, James C. Houk: A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm. NIPS 1991: 611-618
5		Robert A. Jacobs, Michael I. Jordan, Andrew G. Barto: Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Cognitive Science 15(2): 219-250 (1991)
	1990
4		Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew G. Barto: Explaining Temporal Differences to Create Useful Concepts for Evaluating States. AAAI 1990: 882-888
	1989
3		Andrew G. Barto, Richard S. Sutton, Christopher J. C. H. Watkins: Sequential Decision Probelms and Neural Networks. NIPS 1989: 686-693
	1985
2		Oliver G. Selfridge, Richard S. Sutton, Andrew G. Barto: Training and Tracking in Robotics. IJCAI 1985: 670-672
	1978
1		Andrew G. Barto: A Note on Pattern Reproduction in Tessellation Structures. J. Comput. Syst. Sci. 16(3): 445-455 (1978)

Coauthor Index

1	Ivon Arroyo	[50] [59]
2	N. E. Berthier	[6]
3	Steven J. Bradtke	[13] [16]
4	James P. Callan (Jamie Callan)	[17]
5	Nuttapong Chentanez	[42]
6	Christopher I. Connolly	[9]
7	Robert H. Crites	[11] [15] [21]
8	Toby Dragon	[59]
9	Michael O. Duff	[8] [19]
10	Richard E. A. Van Emmerik	[47]
11	Andrew H. Fagg	[24]
12	Kimberly Ferguson	[50] [59]
13	Don Fisher	[59]
14	Deepak Ganesan	[55]
15	Roderic A. Grupen	[9] [12]
16	Vijaykumar Gullapalli	[7] [12]
17	Eric A. Hansen	[18]
18	James C. Houk	[6] [14] [24]
19	Robert A. Jacobs	[5] [10]
20	Jeffrey Johns	[59]
21	Anders Jonsson	[25] [46] [48] [56]
22	Michael I. Jordan	[5] [10]
23	George Konidaris	[49] [52] [57] [61]
24	Michael Kositsky	[28] [33]
25	Sridhar Mahadevan	[38] [39] [50] [59]
26	Vimal Mathew	[58]
27	Amy McGovern	[32] [34]
28	Hasmik Meheranian	[59]
29	Robert Moll (Robert N. Moll)	[23] [27]
30	Jeffrey F. Monaco	[20]
31	J. Eliot B. Moss	[34]
32	Ron Papka	[17]
33	Theodore J. Perkins	[23] [27] [30] [31] [35]
34	Marc Pickett	[37]
35	Jette Randløv	[26]
36	Balaraman Ravindran	[36] [40] [41] [58]
37	Michael T. Rosenstein	[26] [29] [47]
38	Sharad Saxena	[4]
39	Oliver G. Selfridge	[2]
40	Özgür Simsek	[43] [44] [45] [51] [60]
41	Satinder P. Singh	[6] [9] [13] [42]
42	Nathan Sitkoff	[24]
43	Richard S. Sutton	[2] [3] [22] [23]
44	Paul E. Utgoff	[4]
45	Christopher M. Vigorito	[55]
46	David G. Ward	[20]
47	Christopher J. C. H. Watkins	[3]
48	Alicia P. Wolfe	[45] [53]
49	Beverly Park Woolf	[50] [59]
50	Richard C. Yee	[4]
51	Shlomo Zilberstein	[18]

Colors in the list of coauthors