Tao Geng

2005

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Tao Geng trusts overall

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

  1. Nate Kohl
  2. Peter Stone

Who trusts Tao Geng overall

  1. Sergey Levine
  2. Chelsea Finn
  3. Pieter Abbeel
  4. Jens Kober
  5. Tianhao Zhang
  6. Xin Yu Tan
  7. Trevor Darrell
  8. Yan Duan
  9. J. Bagnell
  10. Nolan Wagener

Papers from Tao Geng's perspective

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

  1. Policy gradient reinforcement learning for fast quadrupedal locomotion
  2. Adaptive Dynamic Walking of a Quadruped Robot on Irregular Terrain Based on Biological Concepts (Int. J. Robotics Res.)
  3. Reinforcement Learning: A Survey
  4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  5. Reinforcement Learning for Robots Using Neural Networks
  6. Feudal Reinforcement Learning
  7. Infinite-Horizon Policy-Gradient Estimation
  8. Autonomous Helicopter Flight via Reinforcement Learning
  9. Scaling Reinforcement Learning toward RoboCup Soccer
  10. Clinical applications of artificial neural networks: Evolving artificial neural networks

Their papers