Francisco S. Melo

Reinforcement Learning · with Paiva · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francisco S. Melo trusts overall

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

  1. Andrew Barto
  2. Joscha Bach
  3. Satinder Singh
  4. Andrew W. Moore
  5. Richard S. Sutton
  6. Richard L. Lewis

Papers from Francisco S. Melo's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  3. Prioritized sweeping: Reinforcement learning with less data and less time
  4. Where Do Rewards Come From
  5. Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
  6. Internal Rewards Mitigate Agent Boundedness
  7. An intrinsic reward mechanism for efficient exploration
  8. Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010)
  9. ImageNet classification with deep convolutional neural networks
  10. Intrinsic Motivation For Reinforcement Learning Systems

Their papers