Senthilkumar Chandramohan

Reinforcement Learning · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Senthilkumar Chandramohan trusts overall

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

  1. Bernhard Schölkopf
  2. Michail G. Lagoudakis

Who trusts Senthilkumar Chandramohan overall

  1. Justin Fu
  2. Prithviraj Ammanabrolu
  3. Oliver Lemon

Papers from Senthilkumar Chandramohan's perspective

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

  1. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  2. Least-Squares Policy Iteration
  3. Learning from delayed rewards
  4. Submission Category : Applications , Preference : ORAL Reinforcement Learning for Spoken Dialogue Systems
  5. Information state and dialogue management in the TRINDI dialogue move engine toolkit (Natural Language Engineering)
  6. An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System
  7. The kernel recursive least-squares algorithm (IEEE Transactions on Signal Processing)
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Reinforcement Learning: An Introduction

Their papers