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* | 2009 | |
---|---|---|

61 | EE | Kimberly Ferguson, Beverly Park Woolf, Sridhar Mahadevan: Transfer Learning and Representation Discovery in Intelligent Tutoring Systems. AIED 2009: 605-607 |

60 | EE | Jeffrey Johns, Marek Petrik, Sridhar Mahadevan: Hybrid Least-Squares Algorithms for Approximate Policy Evaluation. ECML/PKDD (1) 2009: 9 |

59 | EE | Chang Wang, Sridhar Mahadevan: Manifold Alignment without Correspondence. IJCAI 2009: 1273-1278 |

58 | EE | Chang Wang, Sridhar Mahadevan: Multiscale Analysis of Document Corpora Based on Diffusion Models. IJCAI 2009: 1592-1597 |

57 | EE | 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 | EE | 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 | EE | Jeffrey Johns, Sridhar Mahadevan: Constructing basis functions from directed graphs for value function approximation. ICML 2007: 385-392 |

50 | EE | Sridhar Mahadevan: Adaptive mesh compression in 3D computer graphics using multiscale manifold learning. ICML 2007: 585-592 |

49 | EE | 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 | EE | Mauro Maggioni, Sridhar Mahadevan: Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. ICML 2006: 601-608 |

46 | EE | 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 | EE | Jeffrey Johns, Sridhar Mahadevan, Beverly Park Woolf: Estimating Student Proficiency Using an Item Response Theory Model. Intelligent Tutoring Systems 2006: 473-480 |

44 | EE | 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 | EE | Sridhar Mahadevan: Proto-value functions: developmental reinforcement learning. ICML 2005: 553-560 |

40 | EE | Khashayar Rohanimanesh, Sridhar Mahadevan: Coarticulation: an approach for generating concurrent plans in Markov decision processes. ICML 2005: 720-727 |

39 | EE | Sridhar Mahadevan, Mauro Maggioni: Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. NIPS 2005 |

38 | EE | Sridhar Mahadevan: Representation Policy Iteration. UAI 2005: 372-379 |

2004 | ||

37 | EE | 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 | EE | 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 | EE | Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(1-2): 41-77 (2003) |

32 | EE | Andrew G. Barto, Sridhar Mahadevan: Recent Advances in Hierarchical Reinforcement Learning. Discrete Event Dynamic Systems 13(4): 341-379 (2003) |

2002 | ||

31 | EE | 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 | EE | Khashayar Rohanimanesh, Sridhar Mahadevan: Learning to Take Concurrent Actions. NIPS 2002: 1619-1626 |

27 | EE | Sridhar Mahadevan: Spatiotemporal Abstraction of Stochastic Sequential Processes. SARA 2002: 33-50 |

2001 | ||

26 | EE | Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamzadeh: Hierarchical multi-agent reinforcement learning. Agents 2001: 246-253 |

25 | EE | 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 | EE | Khashayar Rohanimanesh, Sridhar Mahadevan: Decision-Theoretic Planning with Concurrent Temporally Extended Actions. UAI 2001: 472-479 |

2000 | ||

21 | EE | 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 |

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] |