Marcus Johnson

Computational Theory and Mathematics · with Bhasin · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Marcus Johnson trusts overall

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

  1. Richard S. Sutton
  2. Dimitri P. Bertsekas
  3. Andrew Barto
  4. Frank L. Lewis
  5. Kenji Doya
  6. John J. Hopfield
  7. George V. Cybenko

Who trusts Marcus Johnson overall

  1. Hamidreza Modares
  2. Derong Liu
  3. Ding Wang

Papers from Marcus Johnson's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Approximation by superpositions of a sigmoidal function
  3. Neuronlike adaptive elements that can solve difficult learning control problems
  4. Neuro-Dynamic Programming
  5. Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches
  6. A Menu of Designs for Reinforcement Learning Over Time
  7. Neurons with graded response have collective computational properties like those of two-state neurons.
  8. Data-driven inversion-based control of nonlinear systems
  9. Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem (2009 International Joint Conference on Neural Networks)
  10. Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)

Their papers