Jonathan Bruce

Reinforcement Learning · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 12 citations into it

Whom Jonathan Bruce trusts overall

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

1. Sergey Levine
2. Jan Peters
3. Pieter Abbeel
4. Marc Peter Deisenroth
5. John Schulman

Who trusts Jonathan Bruce overall

1. Lei Tai

Papers from Jonathan Bruce's perspective

Ordered by how strongly the researchers Jonathan Bruce 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. End-to-End Training of Deep Visuomotor Policies

Their papers

• Deep reinforcement learning for tensegrity robot locomotion (2016) — 106 citations
• Design and control of compliant tensegrity robots through simulation and hardware validation (2014) — 294 citations