Piotr J. Gmytrasiewicz

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Piotr J. Gmytrasiewicz trusts overall

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

  1. John C. Harsanyi
  2. Ronald Fagin
  3. Michael L. Littman
  4. Leslie Pack Kaelbling
  5. Craig Boutilier
  6. Adam Brandenburger
  7. Radford M. Neal
  8. Drew Fudenberg
  9. David Silver
  10. Levente Kocsis

Who trusts Piotr J. Gmytrasiewicz overall

  1. Stefano V. Albrecht
  2. Frans Adriaan Oliehoek
  3. Pablo Hernandez-Leal
  4. Alessandro Panella
  5. Peter Stone
  6. Georgios Papoudakis
  7. Nikos A. Vlassis
  8. Michael Kaisers
  9. Filippos Christianos
  10. Maxim Egorov Stanford

Papers from Piotr J. Gmytrasiewicz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Algorithms for Inverse Reinforcement Learning
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers