Michael Gienger

Reinforcement Learning · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Gienger trusts overall

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

  1. Michael I. Jordan
  2. Aude Gemma Billard
  3. Daniel Bullock
  4. Tomaso A. Poggio

Who trusts Michael Gienger overall

  1. Pierre-Yves Oudeyer
  2. Sao Mai Nguyen

Papers from Michael Gienger's perspective

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

  1. End-to-End Training of Deep Visuomotor Policies
  2. Learning inverse kinematics (Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180))
  3. Interaction Networks for Learning about Objects, Relations and Physics
  4. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  5. Internal models in the cerebellum.
  6. Feedback-Error-Learning Neural Network for Supervised Motor Learning
  7. The Development of Embodied Cognition: Six Lessons from Babies
  8. Networks for approximation and learning
  9. A Self-Organizing Neural Model of Motor Equivalent Reaching and Tool Use by a Multijoint Arm
  10. Interactive Perception: Leveraging Action in Perception and Perception in Action (IEEE Transactions on robotics)

Their papers