Xiong Yang

Computational Theory and Mathematics · with Liu · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 13 citations into it; #11,318 of 12,182 by trust here, #9,804 by citations
• Control and Systems Engineering — 9 citations into it; #7,649 of 8,257 by trust here, #6,764 by citations
• Artificial Intelligence — 6 citations into it; #33,018 of 35,345 by trust here, #31,361 by citations
• Biomedical Engineering — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Xiong Yang trusts overall

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

1. Frank L. Lewis
2. Yu Jiang
3. Paul J. Werbos
4. Hamidreza Modares
5. Richard S. Sutton
6. Kyriakos G. Vamvoudakis
7. Murad Abu-Khalaf
8. Zhong-Ping Jiang
9. Huaguang Zhang
10. Andrew Barto

Who trusts Xiong Yang overall

1. Ding Wang
2. Qinglai Wei
3. Derong Liu

Papers from Xiong Yang's perspective

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

1. Reinforcement Learning: An Introduction
2. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
3. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach (at - Automatisierungstechnik)
4. Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems (IEEE Transactions on Neural Networks and Learning Systems)
5. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics (at - Automatisierungstechnik)
6. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
7. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
8. Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (at - Automatisierungstechnik)
9. A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems (at - Automatisierungstechnik)
10. Control Systems with Actuator Saturation: Analysis and Design

Their papers

• Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints (2015) — 405 citations