Nikos Barbalios

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nikos Barbalios trusts overall

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

  1. Nikolaus Hansen
  2. Michael L. Littman
  3. Michael H. Bowling
  4. Christopher J. C. H. Watkins
  5. Yoav Shoham
  6. G. Tesauro
  7. Manuela M. Veloso
  8. Peter Stone

Who trusts Nikos Barbalios overall

  1. Shayegan Omidshafiei
  2. Jason Pazis

Papers from Nikos Barbalios's perspective

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

  1. Multiagent learning using a variable learning rate
  2. Reinforcement Learning: An Introduction
  3. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Reinforcement Learning: A Survey
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  10. Gradient-based learning applied to document recognition

Their papers