| Incremental natural actor-critic algorithms S Bhatnagar, M Ghavamzadeh, M Lee, RS Sutton Advances in neural information processing systems 20, 2007 | 1108 | 2007 |
| 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 | 736 | 2009 |
| Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods HLPLAP S.Bhatnagar Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation …, 2013 | 435* | 2013 |
| Reinforcement learning with function approximation for traffic signal control LA Prashanth, S Bhatnagar IEEE Transactions on Intelligent Transportation Systems 12 (2), 412-421, 2010 | 397 | 2010 |
| 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 | 357 | 2009 |
| Toward off-policy learning control with function approximation. HR Maei, C Szepesvári, S Bhatnagar, RS Sutton ICML 10, 719-726, 2010 | 345 | 2010 |
| An online actor–critic algorithm with function approximation for constrained markov decision processes S Bhatnagar, K Lakshmanan Journal of Optimization Theory and Applications 153, 688-708, 2012 | 304 | 2012 |
| 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 | 243 | 2019 |
| An actor–critic algorithm with function approximation for discounted cost constrained Markov decision processes S Bhatnagar Systems & Control Letters 59 (12), 760-766, 2010 | 230 | 2010 |
| Reinforcement learning algorithm for non-stationary environments S Padakandla, P KJ, S Bhatnagar Applied Intelligence 50 (11), 3590-3606, 2020 | 150 | 2020 |
| Multi-agent reinforcement learning for traffic signal control KJ Prabuchandran, HK AN, S Bhatnagar 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 120 | 2014 |
| 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 | 118 | 2003 |
| 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 | 94 | 2011 |
| A time aggregation approach to Markov decision processes XR Cao, Z Ren, S Bhatnagar, M Fu, S Marcus Automatica 38 (6), 929-943, 2002 | 90 | 2002 |
| 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 | 81 | 2005 |
| Two-timescale algorithms for learning Nash equilibria in general-sum stochastic games HL Prasad, P LA, S Bhatnagar Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 75 | 2015 |
| 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 | 74 | 2018 |
| 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 | 69 | 2007 |
| 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 | 60 | 2001 |
| 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 | 58 | 2012 |
