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Shalabh Bhatnagar
Shalabh Bhatnagar
Professor in the Department of Computer Science and Automation, Indian Institute of Science
Verified email at iisc.ac.in - Homepage
Title
Cited by
Cited by
Year
Incremental natural actor-critic algorithms
S Bhatnagar, M Ghavamzadeh, M Lee, RS Sutton
Advances in neural information processing systems 20, 2007
7282007
Fast gradient-descent methods for temporal-difference learning with linear function approximation
RS Sutton, HR Maei, D Precup, S Bhatnagar, D Silver, C Szepesvári, ...
Proceedings of the 26th annual international conference on machine learning …, 2009
5952009
Reinforcement learning with function approximation for traffic signal control
LA Prashanth, S Bhatnagar
IEEE Transactions on Intelligent Transportation Systems 12 (2), 412-421, 2010
3042010
Toward off-policy learning control with function approximation
HR Maei, C Szepesvári, S Bhatnagar, RS Sutton
ICML, 2010
2842010
Convergent temporal-difference learning with arbitrary smooth function approximation
H Maei, C Szepesvari, S Bhatnagar, D Precup, D Silver, RS Sutton
Advances in neural information processing systems 22, 2009
2752009
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods
HLPLAP S.Bhatnagar
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation …, 2013
181*2013
Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences
S Bhatnagar, MC Fu, SI Marcus, IJ Wang
ACM Transactions on Modeling and Computer Simulation (TOMACS) 13 (2), 180-209, 2003
1112003
A time aggregation approach to Markov decision processes
XR Cao, Z Ren, S Bhatnagar, M Fu, S Marcus
Automatica 38 (6), 929-943, 2002
872002
Memory-based deep reinforcement learning for obstacle avoidance in UAV with limited environment knowledge
A Singla, S Padakandla, S Bhatnagar
IEEE transactions on intelligent transportation systems 22 (1), 107-118, 2019
842019
Multi-agent reinforcement learning for traffic signal control
KJ Prabuchandran, HK AN, S Bhatnagar
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
802014
Adaptive multivariate three-timescale stochastic approximation algorithms for simulation based optimization
S Bhatnagar
ACM Transactions on Modeling and Computer Simulation (TOMACS) 15 (1), 74-107, 2005
762005
An online actor–critic algorithm with function approximation for constrained markov decision processes
S Bhatnagar, K Lakshmanan
Journal of Optimization Theory and Applications 153 (3), 688-708, 2012
692012
An actor–critic algorithm with function approximation for discounted cost constrained Markov decision processes
S Bhatnagar
Systems & Control Letters 59 (12), 760-766, 2010
652010
Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization
S Bhatnagar
ACM Transactions on Modeling and Computer Simulation (TOMACS) 18 (1), 1-35, 2007
592007
Two-timescale algorithms for simulation optimization of hidden Markov models
S Bhatnagar, MC Fu, SI Marcus, S Bhatnagar
Iie Transactions 33 (3), 245-258, 2001
592001
Reinforcement learning algorithm for non-stationary environments
S Padakandla, P KJ, S Bhatnagar
Applied Intelligence 50 (11), 3590-3606, 2020
582020
Reinforcement learning with average cost for adaptive control of traffic lights at intersections
LA Prashanth, S Bhatnagar
2011 14th International IEEE Conference on Intelligent Transportation …, 2011
562011
A two time scale stochastic approximation scheme for simulation based parametric optimization
S Bhatnagar, V Borkar
Probability in the Engineering and Informational Sciences 12, 519-531, 1998
521998
Q-learning based energy management policies for a single sensor node with finite buffer
KJ Prabuchandran, SK Meena, S Bhatnagar
IEEE Wireless Communications Letters 2 (1), 82-85, 2012
512012
Two time-scale stochastic approximation with controlled Markov noise and off-policy temporal-difference learning
P Karmakar, S Bhatnagar
Mathematics of Operations Research 43 (1), 130-151, 2018
502018
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