Dileep Manisseri Kalathil

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #28,987 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; #9,633 of 11,946 by trust here, #11,360 by citations

Whom Dileep Manisseri Kalathil trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dimitri P. Bertsekas
2. Vivek Shripad Borkar
3. Sham M. Kakade
4. P. Pardalos
5. Tamer Basar
6. Vaughn Climenhaga
7. Peter C. Kiessler
8. John N. Tsitsiklis
9. Harold J. Kushner
10. Vijay R. Konda

Who trusts Dileep Manisseri Kalathil overall

1. Devavrat Shah

Papers from Dileep Manisseri Kalathil's perspective

Ordered by how strongly the researchers Dileep Manisseri Kalathil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. wchastic. approximation methods for constrained and unconstrained systems
3. A Stochastic Approximation Method
4. The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
5. Neuro-Dynamic Programming
6. Q-learning
7. Neural Network Learning: Theoretical Foundations
8. Stochastic Estimation of the Maximum of a Regression Function
9. Approximate policy iteration: a survey and some new methods
10. On the sample complexity of reinforcement learning.

Their papers

• Empirical Dynamic Programming (2013) — 69 citations