Sridhar Mahadevan
Sridhar Mahadevan
Director, Data Science Lab, Adobe Research & Professor, University of Massachusetts, Amherst
Email yang diverifikasi di cs.umass.edu - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1), 41-77, 2003
13392003
Automatic programming of behavior-based robots using reinforcement learning
S Mahadevan, J Connell
Artificial intelligence 55 (2-3), 311-365, 1992
9051992
Average reward reinforcement learning: Foundations, algorithms, and empirical results
S Mahadevan
Machine learning 22 (1), 159-195, 1996
5341996
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
4832006
LEAP: A learning apprentice for VLSI design
TM Mitchell, S Mabadevan, LI Steinberg
Machine learning, 271-289, 1990
4181990
Heterogeneous domain adaptation using manifold alignment
C Wang, S Mahadevan
Twenty-second international joint conference on artificial intelligence, 2011
3732011
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
3242007
Manifold alignment using procrustes analysis
C Wang, S Mahadevan
Proceedings of the 25th international conference on Machine learning, 1120-1127, 2008
2862008
Generative multi-adversarial networks
I Durugkar, I Gemp, S Mahadevan
arXiv preprint arXiv:1611.01673, 2016
2732016
Robot learning
JH Connell, S Mahadevan
Springer Science & Business Media, 2012
2582012
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
2481999
Manifold alignment without correspondence
C Wang, S Mahadevan
Twenty-First International Joint Conference on Artificial Intelligence, 2009
1992009
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
1681997
Hierarchical multi-agent reinforcement learning
R Makar, S Mahadevan, M Ghavamzadeh
Proceedings of the fifth international conference on Autonomous agents, 246-253, 2001
1592001
Hierarchical multi-agent reinforcement learning
M Ghavamzadeh, S Mahadevan, R Makar
Autonomous Agents and Multi-Agent Systems 13 (2), 197-229, 2006
1522006
Supervised actor-critic reinforcement learning
MT Rosenstein, AG Barto, J Si, A Barto, W Powell, D Wunsch
Learning and Approximate Dynamic Programming: Scaling Up to the Real World …, 2004
1502004
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
1452007
Proto-value functions: Developmental reinforcement learning
S Mahadevan
Proceedings of the 22nd international conference on Machine learning, 553-560, 2005
1392005
Finite-sample analysis of proximal gradient td algorithms
B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik
arXiv preprint arXiv:2006.14364, 2020
1262020
Gaze control for face learning and recognition by humans and machines
JM Henderson, R Falk, S Minut, FC Dyer, S Mahadevan
From fragments to objects: Segmentation processes in vision, 463-481, 2001
1262001
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