Brandon Packard

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it

Whom Brandon Packard trusts overall

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

1. Stéphane Ross
2. Pieter Abbeel
3. Thomas M. Cover
4. Andrew Bagnell
5. Andrew Y. Ng
6. Abdeslam Boularias
7. Stefan Schaal
8. Geoffrey J. Gordon
9. Drew Bagnell
10. Thomas G. Dietterich

Papers from Brandon Packard's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Policies for Active Learning from Demonstration (2017) — 14 citations