Alicia P. Wolfe

Reinforcement Learning · 2005

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it; #848 of 2,242 by trust here, #1,280 by citations

Whom Alicia P. Wolfe trusts overall

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

1. Richard S. Sutton
2. Longxin Lin
3. Doina Precup
4. Ronald E. Parr
5. Jianbo Shi
6. Ravindra K. Ahuja
7. Andrew Barto
8. Jitendra Malik

Who trusts Alicia P. Wolfe overall

1. George Dimitri Konidaris
2. Andrew Barto
3. Matthew Botvinick
4. Özgür Simsek
5. Pablo Samuel Castro
6. Kimberly L. Stachenfeld
7. Doina Precup
8. Yuu Jinnai
9. Arjun Sharma
10. Alessandro Lazaric

Papers from Alicia P. Wolfe's perspective

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

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Self-improving reactive agents based on reinforcement learning, planning and teaching
6. Normalized cuts and image segmentation
7. Temporal abstraction in reinforcement learning
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Reinforcement Learning with Hierarchies of Machines
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Identifying useful subgoals in reinforcement learning by local graph partitioning (2005) — 305 citations