Robin Baumgarten

2010

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Robin Baumgarten trusts

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

  1. Nils J. Nilsson (in Algorithms & Complexity)

Who trusts Robin Baumgarten

  1. Mark O. Riedl (in Artificial Intelligence)
  2. Matthew J. Guzdial (in Artificial Intelligence)
  3. Boyang Albert Li (in Artificial Intelligence)

Papers from Robin Baumgarten's perspective

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

  1. A Formal Basis for the Heuristic Determination of Minimum Cost Paths
  2. Super mario evolution
  3. Artificial Intelligence for Games
  4. LSTM recurrent networks learn simple context-free and context-sensitive languages
  5. Generating Sequences With Recurrent Neural Networks
  6. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
  7. Training Recurrent Networks by Evolino
  8. Deep auto-encoder neural networks in reinforcement learning
  9. Evolving large-scale neural networks for vision-based reinforcement learning
  10. Evolving Memory Cell Structures for Sequence Learning

Their papers