Beining Han

Reinforcement Learning · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 106 citations into it
• Artificial Intelligence — 105 citations into it
• Computational Theory and Mathematics — 25 citations into it
• Management Science and Operations Research — 20 citations into it
• Computer Networks and Communications — 13 citations into it
• Sociology and Political Science — 10 citations into it
• LLM Agents & Tool Use — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it

Whom Beining Han trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Sergey Levine
4. Diederik P. Kingma
5. Andrew Barto
6. Yoshua Bengio
7. Pieter Abbeel
8. Alex Krizhevsky
9. Scott Fujimoto
10. Yann LeCun

Who trusts Beining Han overall

1. Tonghan Wang
2. Bei Peng

Papers from Beining Han's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Human-level control through deep reinforcement learning

Their papers

• Learning Domain Invariant Representations in Goal-conditioned Block MDPs (2021) — 19 citations
• Off-Policy Multi-Agent Decomposed Policy Gradients (2020) — 220 citations
• Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning (2020) — 25 citations