Chunming Liu

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Chunming Liu trusts overall

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

1. Richard S. Sutton
2. Thomas G. Dietterich
3. Anton Schwartz
4. Andrew Barto
5. Christian R. Shelton
6. Doina Precup
7. Sridhar Mahadevan
8. Ronald E. Parr
9. G. Tesauro
10. Pieter Abbeel

Who trusts Chunming Liu overall

1. Krzysztof Czarnecki
2. Ammar Haydari

Papers from Chunming Liu's perspective

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

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

Their papers

• Multiobjective Reinforcement Learning: A Comprehensive Overview (2015) — 412 citations