Periklis Panousis

Reinforcement Learning · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Periklis Panousis trusts overall

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

  1. Brett L. Moore
  2. Richard S. Sutton
  3. Ben J. A. Kröse
  4. Peter S. Dayan

Who trusts Periklis Panousis overall

  1. Philip S. Thomas
  2. Eddy C. Borera

Papers from Periklis Panousis's perspective

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

  1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  2. Planning and Acting in Partially Observable Stochastic Domains
  3. Residual Algorithms: Reinforcement Learning with Function Approximation
  4. Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
  5. An Introduction to Reinforcement Learning
  6. Generalization in Reinforcement Learning: Safely Approximating the Value Function
  7. Average reward reinforcement learning: Foundations, algorithms, and empirical results
  8. Learning from delayed rewards
  9. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
  10. Reinforcement Learning: A Novel Method for Optimal Control of Propofol-Induced Hypnosis

Their papers