Vivekanand Kulkarni

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 Vivekanand Kulkarni 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
  5. Leslie Pack Kaelbling

Who trusts Vivekanand Kulkarni overall

  1. Pierre Humbert
  2. Philip S. Thomas

Papers from Vivekanand Kulkarni's perspective

Ordered by how strongly the researchers Vivekanand Kulkarni 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. Learning from delayed rewards
  6. An Introduction to Reinforcement Learning
  7. Generalization in Reinforcement Learning: Safely Approximating the Value Function
  8. Average reward reinforcement learning: Foundations, algorithms, and empirical results
  9. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
  10. Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning

Their papers