Sandip Sen

Reinforcement Learning · 1994–2007

A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sandip Sen trusts overall

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

  1. Drew Fudenberg
  2. Maja J. Mataric
  3. Michael L. Littman
  4. Christopher J. C. H. Watkins
  5. Gerhard Weiss
  6. Michael H. Bowling
  7. David K. Levine
  8. Tuomas Sandholm
  9. Peter S. Dayan
  10. Richard S. Sutton

Who trusts Sandip Sen overall

  1. Lucian Busoniu
  2. Jelle R. Kok
  3. Karl Tuyls
  4. Peter Stone
  5. Craig Boutilier
  6. Liviu Panait
  7. Gerhard Weiss
  8. Robert Babuška
  9. Nikos A. Vlassis
  10. Caroline Claus

Papers from Sandip Sen's perspective

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

  1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  2. Reinforcement Learning: A Survey
  3. Reinforcement Learning: An Introduction
  4. The Theory of Learning in Games
  5. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  6. ImageNet classification with deep convolutional neural networks
  7. Nash Convergence of Gradient Dynamics in General-Sum Games
  8. Correlated Q-Learning
  9. Multiagent learning using a variable learning rate
  10. Q-learning

Their papers