Kenneth D. Bogert

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Kenneth D. Bogert trusts overall

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

1. Martin L. Puterman
2. John A. Nelder
3. Brian D. Ziebart
4. Richard H. Byrd
5. Andrew Y. Ng
6. Andrew L. Maas
7. P. Lu
8. Pieter Abbeel
9. Krishnamurthy (Dj) Dvijotham
10. Jorge Nocedal

Who trusts Kenneth D. Bogert overall

1. Takayuki Osa
2. Albert Tung
3. Joni Pajarinen
4. Josiah Wong

Papers from Kenneth D. Bogert's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Apprenticeship learning via inverse reinforcement learning
4. Gradient-based learning applied to document recognition
5. Maximum Entropy Inverse Reinforcement Learning
6. Markov Decision Processes: Discrete Stochastic Dynamic Programming
7. Maximum margin planning
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Multi-robot inverse reinforcement learning under occlusion with interactions (2014) — 42 citations