Zewen Li

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Reinforcement Learning — 33 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Zewen Li trusts overall

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

1. Richard S. Sutton
2. Sergey Levine

Papers from Zewen Li's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. MuJoCo: A physics engine for model-based control
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. Proximal Policy Optimization Algorithms (arXiv.org)
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning (2021) — 99 citations