Stephen C. Adams

Reinforcement Learning · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it
• Artificial Intelligence — 20 citations into it
• Safety, Risk, Reliability and Quality — 7 citations into it; #1,050 of 1,220 by trust here, #1,200 by citations
• LLM Agents & Tool Use — 5 citations into it
• Software — 5 citations into it

Whom Stephen C. Adams trusts overall

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

1. Benjamin Y. Choo
2. Yoshua Bengio
3. Richard S. Sutton
4. Sergio Terzi
5. Sainbayar Sukhbaatar
6. Volodymyr Mnih
7. Jakob N. Foerster
8. Geoffrey E. Hinton
9. Mohsen Jahangirian
10. Ronald J. Williams

Who trusts Stephen C. Adams overall

1. Jianyu Su

Papers from Stephen C. Adams's perspective

Ordered by how strongly the researchers Stephen C. Adams 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. Asynchronous Methods for Deep Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Curriculum learning

Their papers

• Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication (2020) — 28 citations
• Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems (2020) — 13 citations
• Health-aware hierarchical control for smart manufacturing using reinforcement learning (2017) — 6 citations