Max Spero

Reinforcement Learning · 2018

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

Subfields

• Reinforcement Learning — 21 citations into it

Whom Max Spero trusts

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

1. Pieter Abbeel (in Reinforcement Learning)

Papers from Max Spero's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Microsoft COCO: Common Objects in Context
6. MuJoCo: A physics engine for model-based control
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation (2018) — 387 citations