Chris Gearhart

Reinforcement Learning · 2003–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Gearhart trusts overall

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

  1. Richard S. Sutton
  2. Carlos Guestrin

Who trusts Chris Gearhart overall

  1. Matthew E. Taylor
  2. Peter Stone
  3. Martijn van Otterlo
  4. Bhaskara Marthi
  5. Yaxin Liu
  6. Michael Buro

Papers from Chris Gearhart's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Generalized polynomial approximations in Markovian decision processes
  3. Symbolic Dynamic Programming for First-Order MDPs
  4. Multiagent Planning with Factored MDPs
  5. Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
  6. Context-specific multiagent coordination and planning with factored MDPs
  7. Hierarchical Solution of Markov Decision Processes using Macro-actions
  8. Discovering Structure in Multiple Learning Tasks: The TC Algorithm
  9. Learning Action Strategies for Planning Domains
  10. A Survey of Wide Bandgap Power Semiconductor Devices (IEEE transactions on power electronics)

Their papers