Hervé Frezza-Buet

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

• Reinforcement Learning — 11 citations into it; #1,416 of 2,242 by trust here, #1,609 by citations
• Artificial Intelligence — 7 citations into it; #19,569 of 35,345 by trust here, #19,018 by citations

Whom Hervé Frezza-Buet trusts overall

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

1. Alex Smola
2. Bernhard Schölkopf
3. Michail G. Lagoudakis
4. Ronald E. Parr
5. David R. Traum

Who trusts Hervé Frezza-Buet overall

1. Justin Fu

Papers from Hervé Frezza-Buet's perspective

Ordered by how strongly the researchers Hervé Frezza-Buet 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

• Sample-efficient batch reinforcement learning for dialogue management optimization (2011) — 109 citations