Hae-Seung Lee

Artificial Intelligence · 2020

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

• Artificial Intelligence — 11 citations into it

Whom Hae-Seung Lee trusts

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

1. Nikolaus Hansen (in Artificial Intelligence)

Papers from Hae-Seung Lee's perspective

Ordered by how strongly the researchers Hae-Seung Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
2. The Graph Neural Network Model
3. Practical Bayesian Optimization of Machine Learning Algorithms
4. Mastering the game of Go without human knowledge
5. End-to-End Training of Deep Visuomotor Policies
6. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
7. Graph Attention Networks (International Conference on Learning Representations)
8. Transfer Learning for Reinforcement Learning Domains: A Survey
9. The CMA Evolution Strategy: A Tutorial
10. AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Their papers

• GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning (2020) — 351 citations