Hongliang Guo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 10 citations into it

Whom Hongliang Guo trusts overall

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

1. Hado van Hasselt
2. Ben J. A. Kröse
3. Carlo D'Eramo
4. Zongzhang Zhang
5. Richard S. Sutton
6. John N. Tsitsiklis

Papers from Hongliang Guo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. The Arcade Learning Environment: An Evaluation Platform for General Agents
3. Learning from delayed rewards
4. PAC model-free reinforcement learning
5. Asynchronous Stochastic Approximation and Q-Learning
6. Reinforcement Learning: An Introduction
7. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Estimating the Maximum Expected Value: An Analysis of (Nested) Cross Validation and the Maximum Sample Average

Their papers

• Interleaved Q-Learning with Partially Coupled Training Process (2019) — 3 citations