Yujing Hu
Reinforcement Learning · 2015–2021
A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 113 citations into it; #2,218 of 2,242 by trust here, #1,895 by citations
- Artificial Intelligence — 104 citations into it; #26,017 of 35,345 by trust here, #20,836 by citations
- Management Science and Operations Research — 27 citations into it
- Game & Decision Theory — 19 citations into it
- Computational Theory and Mathematics — 14 citations into it; #10,097 of 12,182 by trust here, #9,804 by citations
- Computer Networks and Communications — 13 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Molecular Biology — 6 citations into it
Whom Yujing Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francisco S. Melo
- Yann-Michaël De Hauwere
- Carlos Guestrin
- Jelle R. Kok
- Manuela M. Veloso
- Peter Vrancx
- Junling Hu
- Amy Greenwald
- Richard S. Sutton
- Michael L. Littman
Who trusts Yujing Hu overall
Papers from Yujing Hu's perspective
Ordered by how strongly the researchers Yujing Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Human-level control through deep reinforcement learning
- Et al
Their papers
- From Few to More: Large-scale Dynamic Multiagent Curriculum Learning (2019) — 141 citations
- Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns (2019) — 34 citations
- Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction (2015) — 19 citations
- Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games (2021) — 20 citations
- Q-value Path Decomposition for Deep Multiagent Reinforcement Learning (2020) — 65 citations
- Action Semantics Network: Considering the Effects of Actions in Multiagent Systems (2019) — 46 citations
- Multi-Agent Game Abstraction via Graph Attention Neural Network (2019) — 332 citations