Rushikesh Kamalapurkar
Computational Theory and Mathematics · 2013
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 9 citations into it; #7,803 of 12,182 by trust here, #6,165 by citations
- Control and Systems Engineering — 9 citations into it; #5,000 of 8,257 by trust here, #4,262 by citations
- Reinforcement Learning — 8 citations into it
- Artificial Intelligence — 5 citations into it; #23,226 of 35,345 by trust here, #23,731 by citations
Whom Rushikesh Kamalapurkar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Dimitri P. Bertsekas
- Andrew Barto
- Frank L. Lewis
- Kenji Doya
- John J. Hopfield
- George V. Cybenko
- Murad Abu-Khalaf
- Draguna L. Vrabie
- Kyriakos G. Vamvoudakis
Who trusts Rushikesh Kamalapurkar overall
Papers from Rushikesh Kamalapurkar's perspective
Ordered by how strongly the researchers Rushikesh Kamalapurkar trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Approximation by superpositions of a sigmoidal function
- Neuro-Dynamic Programming
- Neuronlike adaptive elements that can solve difficult learning control problems
- Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches
- A Menu of Designs for Reinforcement Learning Over Time
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Data-driven inversion-based control of nonlinear systems
- Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem (2009 International Joint Conference on Neural Networks)
- Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)