Ida G. Sprinkhuizen-Kuyper
Machine-mediated learning · 1995–2006
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ida G. Sprinkhuizen-Kuyper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ida G. Sprinkhuizen-Kuyper overall
Papers from Ida G. Sprinkhuizen-Kuyper's perspective
Ordered by how strongly the researchers Ida G. Sprinkhuizen-Kuyper trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Introduction to Reinforcement Learning
- How to Solve It: Modern Heuristics
- Gradient-based learning applied to document recognition
- Learning internal representations by error propagation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
- Residual Algorithms: Reinforcement Learning with Function Approximation
- Natural Gradient Works Efficiently in Learning
- Rectified Linear Units Improve Restricted Boltzmann Machines
Their papers
- Adaptive game AI with dynamic scripting (2006) — 321 citations
- Evolving Neural Networks Using the "Baldwin Effect" (1995)