Sridhar Mahadevan

	2009
61		Kimberly Ferguson, Beverly Park Woolf, Sridhar Mahadevan: Transfer Learning and Representation Discovery in Intelligent Tutoring Systems. AIED 2009: 605-607
60		Jeffrey Johns, Marek Petrik, Sridhar Mahadevan: Hybrid Least-Squares Algorithms for Approximate Policy Evaluation. ECML/PKDD (1) 2009: 9
59		Chang Wang, Sridhar Mahadevan: Manifold Alignment without Correspondence. IJCAI 2009: 1273-1278
58		Chang Wang, Sridhar Mahadevan: Multiscale Analysis of Document Corpora Based on Diffusion Models. IJCAI 2009: 1592-1597
57		Sridhar Mahadevan: Learning Representation and Control in Markov Decision Processes: New Frontiers. Foundations and Trends in Machine Learning 1(4): 403-565 (2009)
	2008
56		Sridhar Mahadevan: Fast Spectral Learning using Lanczos Eigenspace Projections. AAAI 2008: 1472-1475
55		Chang Wang, Sridhar Mahadevan: Manifold alignment using Procrustes analysis. ICML 2008: 1120-1127
	2007
54		Jeffrey Johns, Sridhar Mahadevan, Chang Wang: Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization. AAAI 2007: 559-564
53		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
52		Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns, Kimberly Ferguson, Chang Wang: Learning to Plan Using Harmonic Analysis of Diffusion Models. ICAPS 2007: 224-231
51		Jeffrey Johns, Sridhar Mahadevan: Constructing basis functions from directed graphs for value function approximation. ICML 2007: 385-392
50		Sridhar Mahadevan: Adaptive mesh compression in 3D computer graphics using multiscale manifold learning. ICML 2007: 585-592
49		Sarah Osentoski, Sridhar Mahadevan: Learning state-action basis functions for hierarchical MDPs. ICML 2007: 705-712
	2006
48		Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski: Learning Representation and Control in Continuous Markov Decision Processes. AAAI 2006
47		Mauro Maggioni, Sridhar Mahadevan: Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. ICML 2006: 601-608
46		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
45		Jeffrey Johns, Sridhar Mahadevan, Beverly Park Woolf: Estimating Student Proficiency Using an Item Response Theory Model. Intelligent Tutoring Systems 2006: 473-480
44		Mohammad Ghavamzadeh, Sridhar Mahadevan, Rajbala Makar: Hierarchical multi-agent reinforcement learning. Autonomous Agents and Multi-Agent Systems 13(2): 197-229 (2006)
	2005
43		Sridhar Mahadevan: Samuel Meets Amarel: Automating Value Function Approximation Using Global State Space Analysis. AAAI 2005: 1000-1005
42		Jeffrey Johns, Sridhar Mahadevan: A Variational Learning Algorithm for the Abstract Hidden Markov Model. AAAI 2005: 9-14
41		Sridhar Mahadevan: Proto-value functions: developmental reinforcement learning. ICML 2005: 553-560
40		Khashayar Rohanimanesh, Sridhar Mahadevan: Coarticulation: an approach for generating concurrent plans in Markov decision processes. ICML 2005: 720-727
39		Sridhar Mahadevan, Mauro Maggioni: Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. NIPS 2005
38		Sridhar Mahadevan: Representation Policy Iteration. UAI 2005: 372-379
	2004
37		Mohammad Ghavamzadeh, Sridhar Mahadevan: Learning to Communicate and Act Using Hierarchical Reinforcement Learning. AAMAS 2004: 1114-1121
36		Suchi Saria, Sridhar Mahadevan: Probabilistic Plan Recognition in Multiagent Systems. ICAPS 2004: 287-296
35		Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen: Coarticulation in Markov Decision Processes. NIPS 2004
	2003
34		Mohammad Ghavamzadeh, Sridhar Mahadevan: Hierarchical Policy Gradient Algorithms. ICML 2003: 226-233
33		Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(1-2): 41-77 (2003)
32		Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(4): 341-379 (2003)
	2002
31		Mohammad Ghavamzadeh, Sridhar Mahadevan: A multiagent reinforcement learning algorithm by dynamically merging markov decision processes. AAMAS 2002: 845-846
30		Mohammad Ghavamzadeh, Sridhar Mahadevan: Hierarchically Optimal Average Reward Reinforcement Learning. ICML 2002: 195-202
29		Georgios Theocharous, Sridhar Mahadevan: Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA 2002: 1347-1352
28		Khashayar Rohanimanesh, Sridhar Mahadevan: Learning to Take Concurrent Actions. NIPS 2002: 1619-1626
27		Sridhar Mahadevan: Spatiotemporal Abstraction of Stochastic Sequential Processes. SARA 2002: 33-50
	2001
26		Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamzadeh: Hierarchical multi-agent reinforcement learning. Agents 2001: 246-253
25		Silviu Minut, Sridhar Mahadevan: A reinforcement learning model of selective visual attention. Agents 2001: 457-464
24		Mohammad Ghavamzadeh, Sridhar Mahadevan: Continuous-Time Hierarchical Reinforcement Learning. ICML 2001: 186-193
23		Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan: Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA 2001: 511-516
22		Khashayar Rohanimanesh, Sridhar Mahadevan: Decision-Theoretic Planning with Concurrent Temporally Extended Actions. UAI 2001: 472-479
	2000
21		Silviu Minut, Sridhar Mahadevan, John M. Henderson, Fred C. Dyer: Face Recognition Using Foveal Vision. Biologically Motivated Computer Vision 2000: 424-433
20		Natalia Hernandez-Gardiol, Sridhar Mahadevan: Hierarchical Memory-Based Reinforcement Learning. NIPS 2000: 1047-1053
	1999
19		Gang Wang, Sridhar Mahadevan: Hierarchical Optimization of Policy-Coupled Semi-Markov Decision Processes. ICML 1999: 464-473
	1998
18		Sridhar Mahadevan, Georgios Theocharous: Optimizing Production Manufacturing Using Reinforcement Learning. FLAIRS Conference 1998: 372-377
17		Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli: Rapid Concept Learning for Mobile Robots. Auton. Robots 5(3-4): 239-251 (1998)
16		Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli: Rapid Concept Learning for Mobile Robots. Machine Learning 31(1-3): 7-27 (1998)
	1996
15		Sridhar Mahadevan: An Average-Reward Reinforcement Learning Algorithm for Computing Bias-Optimal Policies. AAAI/IAAI, Vol. 1 1996: 875-880
14		Sridhar Mahadevan: Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning. ICML 1996: 328-336
13		Sridhar Mahadevan, Leslie Pack Kaelbling: The National Science Foundation Workshop on Reinforcement Learning. AI Magazine 17(4): 89-93 (1996)
12		Sridhar Mahadevan: Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results. Machine Learning 22(1-3): 159-195 (1996)
	1994
11		Sridhar Mahadevan: To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning. ICML 1994: 164-172
10		Sridhar Mahadevan, Prasad Tadepalli: Quantifying Prior Determination Knowledge Using the PAC Learning Model. Machine Learning 17(1): 69-105 (1994)
	1993
9		Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli: An Apprentice-Based Approach to Knowledge Acquisition. Artif. Intell. 64(1): 1-52 (1993)
	1992
8		Sridhar Mahadevan: Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions. ML 1992: 290-299
7		Sridhar Mahadevan, Jonathan Connell: Automatic Programming of Behavior-Based Robots Using Reinforcement Learning. Artif. Intell. 55(2): 311-365 (1992)
	1991
6		Sridhar Mahadevan, Jonathan Connell: Automatic Programming of Behavior-Based Robots Using Reinforcement Learning. AAAI 1991: 768-773
5		Sridhar Mahadevan, Jonathan Connell: Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture. ML 1991: 328-332
	1989
4		Sridhar Mahadevan: Using Determinations in EBL: A Solution to the incomplete Theory Problem. ML 1989: 320-325
	1988
3		Sridhar Mahadevan, Prasad Tadepalli: On the Tractability of Learning from Incomplete Theories. ML 1988: 235-241
	1985
2		Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg: LEAP: A Learning Apprentice for VLSl Design. IJCAI 1985: 573-580
1		Sridhar Mahadevan: Verification-based Learning: A Generalized Strategy for Inferring Problem-Reduction Methods. IJCAI 1985: 616-623

Coauthor Index

1	Ivon Arroyo	[46] [53]
2	Andrew G. Barto	[32] [33] [46] [53]
3	Jonathan H. Connell (Jonathan Connell)	[5] [6] [7]
4	Toby Dragon	[53]
5	Fred C. Dyer	[21]
6	Kimberly Ferguson	[46] [48] [52] [53] [61]
7	Don Fisher	[53]
8	Mohammad Ghavamzadeh	[24] [26] [30] [31] [34] [37] [44]
9	Roderic A. Grupen	[35]
10	John M. Henderson	[21]
11	Natalia Hernandez-Gardiol	[20]
12	Jeffrey Johns	[42] [45] [51] [52] [53] [54] [60]
13	Leslie Pack Kaelbling	[13]
14	Nikfar Khaleeli	[16] [17]
15	Mauro Maggioni	[39] [47] [48]
16	Rajbala Makar	[26] [44]
17	Hasmik Meheranian	[53]
18	Silviu Minut	[21] [25]
19	Tom M. Mitchell	[2] [9]
20	Jack Mostow	[9]
21	Sarah Osentoski	[48] [49] [52]
22	Marek Petrik	[60]
23	Robert Platt Jr.	[35]
24	Khashayar Rohanimanesh	[22] [23] [28] [35] [40]
25	Suchi Saria	[36]
26	Louis I. Steinberg	[2] [9]
27	Prasad Tadepalli	[3] [9] [10]
28	Georgios Theocharous	[16] [17] [18] [23] [29]
29	Chang Wang	[52] [54] [55] [58] [59]
30	Gang Wang	[19]
31	Beverly Park Woolf	[45] [46] [53] [61]

Colors in the list of coauthors