Minho Hwang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Reinforcement Learning — 28 citations into it
• Control and Systems Engineering — 25 citations into it

Whom Minho Hwang trusts overall

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

1. Leslie Pack Kaelbling
2. Shixiang Shane Gu
3. Sergey Levine
4. Diederik P. Kingma
5. Timothy P. Lillicrap
6. Brijen Thananjeyan

Who trusts Minho Hwang overall

1. Chao Yu
2. Thanh Thi Nguyen

Papers from Minho Hwang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
9. ImageNet: A large-scale hierarchical image database
10. Reinforcement Learning: An Introduction

Their papers

• Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones (2020) — 307 citations
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019) — 30 citations
• Path Planning for Automation of Surgery Robot based on Probabilistic Roadmap and Reinforcement Learning (2018) — 36 citations