Runji Lin

Reinforcement Learning · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it

Whom Runji Lin trusts overall

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

1. Richard S. Sutton

Papers from Runji Lin's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Human-level control through deep reinforcement learning
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Reinforcement Learning: An Introduction
9. Gradient-based learning applied to document recognition
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• Multi-Agent Reinforcement Learning is a Sequence Modeling Problem (2022) — 362 citations