Guan Wang

Reinforcement Learning · with Ho · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guan Wang trusts overall

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

  1. W. B. Knox
  2. Richard S. Sutton

Papers from Guan Wang's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Residual Algorithms: Reinforcement Learning with Function Approximation
  3. A survey of robot learning from demonstration
  4. Teachable robots: Understanding human teaching behavior to build more effective robot learners
  5. A social reinforcement learning agent
  6. Dynamic Reward Shaping: Training a Robot by Voice
  7. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  8. A Teaching Method for Reinforcement Learning
  9. Interactively shaping agents via human reinforcement: the TAMER framework
  10. Learning from human-generated reward

Their papers