Yohai Gat

Reinforcement Learning · 2003

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Yohai Gat trusts overall

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

  1. John N. Tsitsiklis
  2. Andrew Barto
  3. Vijay R. Konda
  4. Ronald J. Williams
  5. Richard S. Sutton
  6. Michael Kearns

Who trusts Yohai Gat overall

  1. Gerhard Neumann
  2. Dibya Ghosh
  3. Freek Stulp
  4. Abbas Abdolmaleki

Papers from Yohai Gat's perspective

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

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Near-Optimal Reinforcement Learning in Polynomial Time
  3. Actor-Critic Algorithms
  4. Reinforcement Learning: A Survey
  5. Learning from delayed rewards
  6. Dynamic Programming and Optimal Control, Two Volume Set
  7. Asynchronous Stochastic Approximation and Q-Learning
  8. Reinforcement learning
  9. OnActor-Critic Algorithms (SIAM Journal of Control and Optimization)
  10. Neuronlike adaptive elements that can solve difficult learning control problems

Their papers