Snehasis Mukhopadhyay
Affiliations: | Computer Sciences | Purdue University, West Lafayette, IN, United States |
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Computer ScienceGoogle:
"Snehasis Mukhopadhyay"
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Publications
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| Nguyen T, Mukhopadhyay S, Babbar-Sebens M. (2019) Why the ‘selfish’ optimizing agents could solve the decentralized reinforcement learning problems Ai Communications. 32: 143-159 |
| Nguyen T, Mukhopadhyay S. (2018) Two-phase selective decentralization to improve reinforcement learning systems with MDP Ai Communications. 31: 319-337 |
| Tilak O, Martin R, Mukhopadhyay S. (2011) Decentralized indirect methods for learning automata games. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 41: 1213-23 |
| Tilak O, Mukhopadhyay S. (2011) Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes Ai Communications. 24: 293-309 |
| Tilak O, Hoblitzell A, Mukhopadhyay S, et al. (2011) Multilevel text mining for bone biology Concurrency and Computation: Practice and Experience. 23: 2355-2364 |
| Mukhopadhyay S, Palakal M, Maddu K. (2010) Multi-way association extraction and visualization from biological text documents using hyper-graphs: applications to genetic association studies for diseases. Artificial Intelligence in Medicine. 49: 145-54 |
| Raje RR, Zhu D, Mukhopadhyay S, et al. (2004) COBioSIFTER – A CORBA-Based Distributed Multi-Agent Biological Information Management System Cluster Computing. 7: 373-389 |
| Mukhopadhyay S, Peng S, Raje R, et al. (2003) Multi-agent information classification using dynamic acquaintance lists Journal of the American Society For Information Science and Technology. 54: 966-975 |
| Raje RR, Mukhopadhyay S, Boyles M, et al. (1998) World Wide Web. 1: 155-165 |
| Mostafa J, Mukhopadhyay S, Lam W, et al. (1997) A multilevel approach to intelligent information filtering: Model, system, and evaluation Acm Transactions On Information Systems. 15: 368-399 |