M. Mohan

Artificial Intelligence · with Laird · 2009

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 M. Mohan trusts overall

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

  1. Andrew Barto
  2. John Edwin Laird
  3. Richard S. Sutton
  4. Sridhar Mahadevan
  5. Carlos Diuk

Who trusts M. Mohan overall

  1. Marie Ossenkopf
  2. Stefano V. Albrecht
  3. Mackenzie Jorgensen
  4. Macheng Shen
  5. Kurt Geihs

Papers from M. Mohan's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Recent Advances in Hierarchical Reinforcement Learning
  3. Recent Advances in Hierarchical Reinforcement Learning
  4. An object-oriented representation for efficient reinforcement learning
  5. Human-Level AI's Killer Application: Interactive Computer Games (The AI Magazine)
  6. Extending the Soar Cognitive Architecture (Artificial General Intelligence)
  7. Adaptive game AI with dynamic scripting (Machine-mediated learning)
  8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  9. Residual Algorithms: Reinforcement Learning with Function Approximation
  10. An integrated theory of the mind.

Their papers