D. E. Hershkowitz

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom D. E. Hershkowitz trusts overall

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

  1. Richard Dearden
  2. Bram Bakker
  3. Richard S. Sutton
  4. Lihong Li
  5. Andrew Barto
  6. Thomas Jaksch
  7. Michael L. Littman

Who trusts D. E. Hershkowitz overall

  1. David Abel
  2. Ofir Nachum
  3. Carles Gelada
  4. Iulian Serban
  5. Weitong Zhang

Papers from D. E. Hershkowitz's perspective

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

  1. Reinforcement Learning: A Survey
  2. Feudal Reinforcement Learning
  3. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
  4. Recent Advances in Hierarchical Reinforcement Learning
  5. Near-optimal Regret Bounds for Reinforcement Learning
  6. Reinforcement Learning: An Introduction
  7. Towards a Unified Theory of State Abstraction for MDPs
  8. Bayesian Q-Learning
  9. Metrics for Finite Markov Decision Processes
  10. Approximate Equivalence of Markov Decision Processes

Their papers