Yin-Hao Wang

Reinforcement Learning · 2013

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

Subfields

• Reinforcement Learning — 9 citations into it

Whom Yin-Hao Wang trusts overall

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

1. Richard S. Sutton
2. Christopher J. C. H. Watkins

Papers from Yin-Hao Wang's perspective

Ordered by how strongly the researchers Yin-Hao Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Residual Algorithms: Reinforcement Learning with Function Approximation
5. Learning internal representations by error propagation
6. Gradient-based learning applied to document recognition
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Backward Q-learning: The combination of Sarsa algorithm and Q-learning (2013) — 160 citations