Martin Lauer

Reinforcement Learning · with Riedmiller · 2000–2004

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Lauer trusts overall

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

  1. Ben J. A. Kröse
  2. Caroline Claus
  3. Craig Boutilier
  4. Carlos Guestrin
  5. Michael L. Littman
  6. Junling Hu
  7. Michail G. Lagoudakis
  8. Michael P. Wellman
  9. Ronald E. Parr

Who trusts Martin Lauer overall

  1. Liviu Panait
  2. Laëtitia Matignon
  3. Karl Tuyls
  4. Guillaume J. Laurent
  5. Sean Luke
  6. Xueguang Lu
  7. Kyunghwan Son
  8. Georgios Chalkiadakis
  9. Spiros Kapetanakis
  10. Nancy Fulda

Papers from Martin Lauer's perspective

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

  1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  2. Learning from delayed rewards
  3. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  4. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
  5. Distributed Value Functions
  6. Reinforcement Learning: An Introduction
  7. An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
  8. Sequential Optimality and Coordination in Multiagent Systems
  9. ImageNet classification with deep convolutional neural networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers