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ORCIDOmkar J. Tilak
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Books and Theses
- 2012
[b1]Omkar J. Tilak:
Decentralized and partially decentralized Multi-Agent Reinforcement Learning. Purdue University, USA, 2012
Journal Articles
- 2012
- [j5]Ryan Martin, Omkar J. Tilak:
On ε-Optimality of the Pursuit Learning Algorithm. J. Appl. Probab. 49(3): 795-805 (2012) - 2011
- [j4]Omkar J. Tilak, Snehasis Mukhopadhyay:
Partially decentralized reinforcement learning in finite, multi-agent Markov decision processes. AI Commun. 24(4): 293-309 (2011) - [j3]Omkar J. Tilak, Andrew Hoblitzell, Snehasis Mukhopadhyay, Qian You, Shiaofen Fang, Yuni Xia, Joseph Bidwell:
Multilevel text mining for bone biology. Concurr. Comput. Pract. Exp. 23(17): 2355-2364 (2011) - [j2]Omkar J. Tilak, Ryan Martin, Snehasis Mukhopadhyay:
Decentralized Indirect Methods for Learning Automata Games. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1213-1223 (2011) - 2008
- [j1]Changlin Sun, Rajeev R. Raje, Omkar J. Tilak, Barrett R. Bryant:
Compositional reasoning of performance in component-based distributed systems. Clust. Comput. 11(4): 331-340 (2008)
Conference and Workshop Papers
- 2018
- [c6]Snehasis Mukhopadhyay, Omkar J. Tilak, Subir Chakrabarti:
Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games. ICMLA 2018: 48-54 - 2011
- [c5]Omkar J. Tilak, Meghna Babbar-Sebens, Snehasis Mukhopadhyay:
Decentralized and partially decentralized reinforcement learning for designing a distributed wetland system in watersheds. SMC 2011: 271-276 - 2010
- [c4]Omkar J. Tilak, Snehasis Mukhopadhyay:
Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems. ICMLA 2010: 389-394 - [c3]Omkar J. Tilak, Snehasis Mukhopadhyay, Mihran Tuceryan, Rajeev R. Raje:
A novel reinforcement learning framework for sensor subset selection. ICNSC 2010: 95-100 - 2007
- [c2]Omkar J. Tilak, Rajeev R. Raje:
Temporal Interaction Contracts for Components in a Distributed System. EDOC 2007: 339-352 - 2006
- [c1]Omkar J. Tilak, Rajeev R. Raje, Xukai Zou:
Composing Access Control Policies of Distributed Components. DASC 2006: 301-307
Informal and Other Publications
- 2011
- [i1]Ryan Martin, Omkar J. Tilak:
On epsilon-optimality of the pursuit learning algorithm. CoRR abs/1106.3355 (2011)
Coauthor Index
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