Michael P. Wellman

with Cheng · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michael P. Wellman trusts overall

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

  1. Daphne Koller
  2. William E. Walsh
  3. Michael Kearns
  4. Ryan Porter

Who trusts Michael P. Wellman overall

  1. Tuomas Sandholm
  2. Joel Z. Leibo
  3. Satinder Singh
  4. Vinícius Flores Zambaldi
  5. Marc Lanctot
  6. Janusz Marecki

Papers from Michael P. Wellman's perspective

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

  1. Multi-Agent Influence Diagrams for Representing and Solving Games (International Joint Conference on Artificial Intelligence)
  2. Graphical Models for Game Theory (Conference on Uncertainty in Artificial Intelligence)
  3. Simple search methods for finding a Nash equilibrium (Games Econ. Behav.)
  4. Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium
  5. Reinforcement Learning: An Introduction
  6. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
  9. Stable Function Approximation in Dynamic Programming
  10. Markov Games as a Framework for Multi-Agent Reinforcement Learning

Their papers