Z. Kalmár

Reinforcement Learning · 1997

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

Subfields

Whom Z. Kalmár trusts overall

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

  1. Richard S. Sutton
  2. Michael L. Littman
  3. John N. Tsitsiklis

Who trusts Z. Kalmár overall

  1. Jens Kober
  2. J. Bagnell

Papers from Z. Kalmár's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Reinforcement Learning: An Introduction
  4. ImageNet classification with deep convolutional neural networks
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Asynchronous Methods for Deep Reinforcement Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Residual Algorithms: Reinforcement Learning with Function Approximation
  10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers