Luis Villaseñor-Pineda

Artificial Intelligence · with Escalante · 2009–2015

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Luis Villaseñor-Pineda trusts overall

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

  1. Adam Laud
  2. Andrew Y. Ng
  3. William D. Smart
  4. Karla Conn Welch
  5. Jan Peters

Who trusts Luis Villaseñor-Pineda overall

  1. Marc-André Zöller
  2. W. B. Knox
  3. Stefanos Nikolaidis
  4. Marco F. Huber

Papers from Luis Villaseñor-Pineda's perspective

Ordered by how strongly the researchers Luis Villaseñor-Pineda trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  3. Apprenticeship learning via inverse reinforcement learning
  4. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  5. Reward Functions for Accelerated Learning
  6. LabelMe: A Database and Web-Based Tool for Image Annotation
  7. Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
  8. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
  9. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
  10. Reinforcement Learning for Humanoid Robotics

Their papers