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), 41-77, 2003
12652003
Automatic programming of behavior-based robots using reinforcement learning
S Mahadevan, J Connell
Artificial intelligence 55 (2-3), 311-365, 1992
8791992
Average reward reinforcement learning: Foundations, algorithms, and empirical results
S Mahadevan
Machine learning 22 (1), 159-195, 1996
4921996
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems.
E Even-Dar, S Mannor, Y Mansour, S Mahadevan
Journal of machine learning research 7 (6), 2006
4372006
LEAP: A learning apprentice for VLSI design
TM Mitchell, S Mabadevan, LI Steinberg
Machine learning, 271-289, 1990
3891990
Heterogeneous domain adaptation using manifold alignment
C Wang, S Mahadevan
IJCAI proceedings-international joint conference on artificial intelligence …, 2011
3522011
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 (10), 2007
3172007
Manifold alignment using procrustes analysis
C Wang, S Mahadevan
Proceedings of the 25th international conference on Machine learning, 1120-1127, 2008
2762008
Robot learning
JH Connell, S Mahadevan
Springer Science & Business Media, 2012
2542012
Generative multi-adversarial networks
I Durugkar, I Gemp, S Mahadevan
arXiv preprint arXiv:1611.01673, 2016
2422016
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
2381999
Manifold Alignment without Correspondence.
C Wang, S Mahadevan
IJCAI 2, 3, 2009
1922009
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
1601997
Hierarchical multi-agent reinforcement learning
R Makar, S Mahadevan, M Ghavamzadeh
Proceedings of the fifth international conference on Autonomous agents, 246-253, 2001
1522001
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
1502004
Hierarchical multi-agent reinforcement learning
M Ghavamzadeh, S Mahadevan, R Makar
Autonomous Agents and Multi-Agent Systems 13 (2), 197-229, 2006
1412006
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
1392007
Proto-value functions: Developmental reinforcement learning
S Mahadevan
Proceedings of the 22nd international conference on Machine learning, 553-560, 2005
1292005
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
1282001
Value function approximation with diffusion wavelets and laplacian eigenfunctions
S Mahadevan, M Maggioni
Advances in neural information processing systems 18, 843, 2006
1162006
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