Mitchell K. Colby

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mitchell K. Colby trusts overall

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

  1. Morgan Quigley
  2. Liviu Panait
  3. Karl Tuyls
  4. Adrian K. Agogino
  5. Kagan Tumer
  6. L. D. Whitley
  7. Caroline Claus
  8. Yaochu Jin
  9. Sean Luke

Papers from Mitchell K. Colby's perspective

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

  1. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  2. An analysis of cooperative coevolutionary algorithms
  3. Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
  4. What evolutionary game theory tells us about multiagent learning
  5. Analyzing and visualizing multiagent rewards in dynamic and stochastic domains
  6. Reinforcement Learning: An Introduction
  7. ROS: an open-source Robot Operating System
  8. An overview of evolutionary algorithms: practical issues and common pitfalls (Information and Software Technology)
  9. An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions
  10. Reinforcement Learning: A Survey

Their papers