Sridhar Mahadevan
Sridhar Mahadevan
Director, Data Science Lab, Adobe Research & Professor, University of Massachusetts, Amherst
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1-2), 41-77, 2003
11432003
Automatic programming of behavior-based robots using reinforcement learning
S Mahadevan, J Connell
Artificial intelligence 55 (2-3), 311-365, 1992
8721992
Average reward reinforcement learning: Foundations, algorithms, and empirical results
S Mahadevan
Machine learning 22 (1-3), 159-195, 1996
4711996
LEAP: A learning apprentice for VLSI design
TM Mitchell, S Mabadevan, LI Steinberg
Machine learning, 271-289, 1990
4001990
Heterogeneous domain adaptation using manifold alignment
C Wang, S Mahadevan
IJCAI proceedings-international joint conference on artificial intelligence …, 2011
3282011
Proto-value functions: A Laplacian framework for learning representation and control in Markov decision processes
S Mahadevan, M Maggioni
Journal of Machine Learning Research 8 (Oct), 2169-2231, 2007
2982007
Robot learning
JH Connell, S Mahadevan
Springer Science & Business Media, 2012
2682012
Manifold alignment using procrustes analysis
C Wang, S Mahadevan
Proceedings of the 25th international conference on Machine learning, 1120-1127, 2008
2582008
Solving semi-Markov decision problems using average reward reinforcement learning
TK Das, A Gosavi, S Mahadevan, N Marchalleck
Management Science 45 (4), 560-574, 1999
2271999
Generative multi-adversarial networks
I Durugkar, I Gemp, S Mahadevan
arXiv preprint arXiv:1611.01673, 2016
2132016
Manifold alignment without correspondence.
C Wang, S Mahadevan
IJCAI 2, 3, 2009
1812009
Self-improving factory simulation using continuous-time average-reward reinforcement learning
S Mahadevan, N Marchalleck, TK Das, A Gosavi
MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, 202-210, 1997
1521997
Hierarchical multi-agent reinforcement learning
R Makar, S Mahadevan, M Ghavamzadeh
Proceedings of the fifth international conference on Autonomous agents, 246-253, 2001
1492001
Repairing disengagement with non-invasive interventions
I Arroyo, K Ferguson, J Johns, T Dragon, H Meheranian, D Fisher, A Barto, ...
AIED 2007, 195-202, 2007
1432007
Hierarchical multi-agent reinforcement learning
M Ghavamzadeh, S Mahadevan, R Makar
Autonomous Agents and Multi-Agent Systems 13 (2), 197-229, 2006
1372006
Supervised actor-critic reinforcement learning
MT Rosenstein, AG Barto, J Si, A Barto, W Powell
Learning and Approximate Dynamic Programming: Scaling Up to the Real World …, 2004
1342004
Gaze control for face learning and recognition by humans and machines
T Shipley, P Kellman
From fragments to objects: Segmentation and grouping in vision 463, 2001
1262001
Proto-value functions: Developmental reinforcement learning
S Mahadevan
Proceedings of the 22nd international conference on Machine learning, 553-560, 2005
1222005
Value function approximation with diffusion wavelets and laplacian eigenfunctions
S Mahadevan, M Maggioni
Advances in neural information processing systems 18, 843-850, 2005
1122005
Hierarchical memory-based reinforcement learning
N Hernandez-Gardiol, S Mahadevan
Advances in Neural Information Processing Systems 13, 1047-1053, 2000
1102000
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