Raghav Aras

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 Raghav Aras trusts overall

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

  1. Martin L. Puterman
  2. Roger Fletcher
  3. Sven Seuken
  4. Shlomo Zilberstein
  5. Craig Boutilier
  6. Martin J. Osborne
  7. Frans Adriaan Oliehoek
  8. Satinder Singh

Papers from Raghav Aras's perspective

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

  1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  2. Memory-Bounded Dynamic Programming for DEC-POMDPs
  3. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  4. A Course in Game Theory
  5. Planning, Learning and Coordination in Multiagent Decision Processes
  6. Reinforcement Learning: An Introduction
  7. Dynamic Programming and Markov Processes
  8. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
  9. Solving Transition Independent Decentralized Markov Decision Processes
  10. Dynamic Programming for Partially Observable Stochastic Games

Their papers