Dan Ventura

Reinforcement Learning · 2007

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Ventura trusts overall

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

  1. Junling Hu
  2. Martin Lauer
  3. Xiaofeng Wang
  4. Sandip Sen
  5. Michael P. Wellman
  6. Michael L. Littman
  7. Ben J. A. Kröse
  8. Martin A. Riedmiller
  9. Tuomas Sandholm
  10. John N. Tsitsiklis

Who trusts Dan Ventura overall

  1. Xueguang Lyu
  2. Ermo Wei
  3. Laëtitia Matignon
  4. Chris Amato
  5. Pablo Hernandez-Leal
  6. Guillaume J. Laurent
  7. Sean Luke

Papers from Dan Ventura's perspective

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

  1. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  2. Learning from delayed rewards
  3. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
  4. Friend-or-Foe Q-learning in General-Sum Games
  5. Learning to Coordinate without Sharing Information
  6. Nash Q-Learning for General-Sum Stochastic Games
  7. An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
  8. Asynchronous Stochastic Approximation and Q-Learning
  9. Multiagent Systems: A Survey from a Machine Learning Perspective
  10. Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games

Their papers