M. V. Wezel

Reinforcement Learning · 2008

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom M. V. Wezel trusts overall

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

  1. Michael L. Littman
  2. Richard S. Sutton
  3. G. Tesauro
  4. Andrew Barto
  5. Dimitri P. Bertsekas
  6. Ben J. A. Kröse

Who trusts M. V. Wezel overall

  1. Michiel van der Ree
  2. Marco A. Wiering

Papers from M. V. Wezel's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Learning from delayed rewards
  3. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  4. Neuro-Dynamic Programming
  5. Temporal Difference Learning and TD-Gammon
  6. Reinforcement Learning: A Survey
  7. Nash Q-Learning for General-Sum Stochastic Games
  8. Elevator Group Control Using Multiple Reinforcement Learning Agents
  9. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
  10. Sequential cost-sensitive decision making with reinforcement learning

Their papers