Will W. K. Ma

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it
• Artificial Intelligence — 14 citations into it

Whom Will W. K. Ma trusts overall

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

1. Sergey Levine

Papers from Will W. K. Ma's perspective

Ordered by how strongly the researchers Will W. K. Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. End-to-End Training of Deep Visuomotor Policies
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

• Benchmarking Reinforcement Learning Algorithms on Real-World Robots (2018) — 189 citations