Qihang Zhang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 19 citations into it

Whom Qihang Zhang trusts

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

1. Sergey Levine (in Artificial Intelligence)
2. Pieter Abbeel (in Artificial Intelligence)
3. Aurick Zhou (in Artificial Intelligence)

Papers from Qihang Zhang's perspective

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

1. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
2. Learning dexterous in-hand manipulation
3. Constrained Policy Optimization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Conservative Q-Learning for Offline Reinforcement Learning (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning to Drive in a Day
10. Reinforcement Learning: An Introduction

Their papers

• MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning (2021) — 433 citations