Zhenhua Huang

Artificial Intelligence · with Graves · 2014

A researcher in the Science corpus: 1 paper; trusts 8 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
• Computational Theory and Mathematics — 8 citations into it

Whom Zhenhua Huang trusts overall

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

1. Richard S. Sutton
2. Michail G. Lagoudakis
3. Petros Drineas
4. Sridhar Mahadevan
5. José Valente de Oliveira
6. Asma Al-Tamimi
7. Guanghua Hu
8. Frank L. Lewis

Papers from Zhenhua Huang's perspective

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

1. Reinforcement Learning: An Introduction
2. Least-Squares Policy Iteration
3. Infinite-Horizon Policy-Gradient Estimation
4. Kernel-Based Reinforcement Learning
5. On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
6. Gaussian Processes in Reinforcement Learning
7. Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
8. Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
9. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
10. Approximate dynamic programming: solving the curses of dimensionality

Their papers

• A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning (2014) — 38 citations