Rahul Jain
Artificial Intelligence · with Haskell · 2001–2013
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #28,988 of 35,345 by trust here, #34,213 by citations
- Reinforcement Learning — 9 citations into it
- Statistics and Probability — 8 citations into it
- Management Science and Operations Research — 5 citations into it; #9,634 of 11,946 by trust here, #11,360 by citations
Whom Rahul Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dimitri P. Bertsekas
- Sham M. Kakade
- Vivek Shripad Borkar
- P. Pardalos
- Tamer Basar
- Vaughn Climenhaga
- Peter C. Kiessler
- John N. Tsitsiklis
- Harold J. Kushner
- Vijay R. Konda
Who trusts Rahul Jain overall
- Ivan Stojmenovic
- Ljubica Blazevic
- Christian Bettstetter
- Silvia Giordano
- Andrea J. Goldsmith
- Devavrat Shah
- J. L. Boudec
Papers from Rahul Jain's perspective
Ordered by how strongly the researchers Rahul Jain trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- A Stochastic Approximation Method
- wchastic. approximation methods for constrained and unconstrained systems
- The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
- Neuro-Dynamic Programming
- Q-learning
- Neural Network Learning: Theoretical Foundations
- Stochastic Estimation of the Maximum of a Regression Function
- Approximate policy iteration: a survey and some new methods
- On the sample complexity of reinforcement learning.
Their papers
- Empirical Dynamic Programming (2013) — 69 citations
- Geographical routing using partial information for wireless ad hoc networks (2001) — 471 citations