Todd W. Neller

2004–2013

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Todd W. Neller trusts overall

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

  1. Richard S. Sutton
  2. Martin A. Zinkevich
  3. Kevin Leyton-Brown
  4. Marc Lanctot
  5. Michael H. Bowling
  6. Andrew Barto
  7. Dimitri P. Bertsekas
  8. Yoav Shoham
  9. Kevin Waugh
  10. Sean R. Eddy

Who trusts Todd W. Neller overall

  1. Pablo Hernandez-Leal
  2. Lasse Becker-Czarnetzki
  3. Bilal Kartal
  4. Matthew E. Taylor

Papers from Todd W. Neller's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Regret Minimization in Games with Incomplete Information
  5. Dynamic Programming: Deterministic and Stochastic Models
  6. Monte Carlo Sampling for Regret Minimization in Extensive Games
  7. Monte carlo sampling and regret minimization for equilibrium computation and decision-making in large extensive form games
  8. A simple adaptive procedure leading to correlated equilibrium
  9. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers