Hanquan Lin
Computational Theory and Mathematics · 2016
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 17 citations into it
- Control and Systems Engineering — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Reinforcement Learning — 7 citations into it
- Electrical and Electronic Engineering — 6 citations into it
Whom Hanquan Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hanquan Lin's perspective
Ordered by how strongly the researchers Hanquan Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
- A Menu of Designs for Reinforcement Learning Over Time
- Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems (IEEE Transactions on Neural Networks and Learning Systems)
- Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis (IEEE transactions on industrial electronics (1982. Print))
- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning (at - Automatisierungstechnik)
- Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints (IEEE Transactions on Cybernetics)
- Reinforcement learning and adaptive dynamic programming for feedback control
- Relaxing dynamic programming (IEEE Transactions on Automatic Control)
- A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))