Shalabh Bhatnagar, an Indian computer scientist, Assistant Professor at Department of Computer Science and Automation [1] , Indian Institute of Science, Bangalore, India. His research interests are in control/optimization in stochastic dynamic systems, including Reinforcement Learning.
Shalabh Bhatnagar [2]

Selected Publications

2005 ...

• Shalabh Bhatnagar, S. Kumar (2005). A reinforcement learning based algorithm for Markov decision processes. Proceedings of International Conference on Intelligent Sensing and Information Processing (ICISIP), pp.199-204, Chennai, India
• M.S. Abdulla, Shalabh Bhatnagar (2007). Reinforcement learning based algorithms for average cost Markov decision processes. Discrete Event Dynamic Systems, Vol.17, No.1, pp.23-52
• Hamid Reza Maei, Csaba Szepesvári, Shalabh Bhatnagar, Doina Precup, David Silver, Richard Sutton (2009). Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation. Accepted in Advances in Neural Information Processing Systems 22, Vancouver, BC. December 2009. MIT Press. pdf
• Richard Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, Eric Wiewiora. (2009). Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation. In Proceedings of the 26th International Conference on Machine Learning (ICML-09). pdf

2010 ...

• Shalabh Bhatnagar, H. L. Prasad, L.A. Prashanth (2013). Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods. Lecture Notes in Control and Information Sciences, Vol. 434, Springer » SPSA

External Links

• Shalabh Bhatnagar - Home Page
• Shalabh Bhatnagar - Google Scholar Citations

References

1. ^ Computer Science and Automation
2. ^ Shalabh Bhatnagar - Home Page
3. ^ Shalabh Bhatnagar - Publications
4. ^ dblp: Shalabh Bhatnagar

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