Draguna L. Vrabie
Control and Systems Engineering · 2009–2020
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 60 citations into it; #915 of 8,257 by trust here, #1,409 by citations
- Computational Theory and Mathematics — 47 citations into it; #633 of 12,182 by trust here, #811 by citations
- Reinforcement Learning — 37 citations into it; #812 of 2,242 by trust here, #1,371 by citations
- Artificial Intelligence — 31 citations into it; #6,213 of 35,345 by trust here, #11,490 by citations
- Electrical and Electronic Engineering — 23 citations into it; #4,026 of 16,539 by trust here, #9,210 by citations
- Optimization & Training — 13 citations into it
- Mathematical Optimization — 10 citations into it
- Algorithms & Complexity — 9 citations into it
Whom Draguna L. Vrabie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. Werbos
- Kenji Doya
- Richard S. Sutton
- Victor M. Becerra
- Andrew Barto
- Frank L. Lewis
- Asma Al-Tamimi
- Leemon C. Baird III
- Ben J. A. Kröse
- Murad Abu-Khalaf
Who trusts Draguna L. Vrabie overall
- Hamidreza Modares
- Frank L. Lewis
- Derong Liu
- Kyriakos G. Vamvoudakis
- Ding Wang
- Yu Jiang
- Zhong-Ping Jiang
- Yanjun Liu
- Phuong D. Ngo
- Yong-ming Li
Papers from Draguna L. Vrabie's perspective
Ordered by how strongly the researchers Draguna L. Vrabie trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Dynamic Programming and Markov Processes
- ImageNet classification with deep convolutional neural networks
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Gradient-based learning applied to document recognition
- Neuronlike adaptive elements that can solve difficult learning control problems
- Practical Issues in Temporal Difference Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning from delayed rewards
Their papers
- Reinforcement learning and adaptive dynamic programming for feedback control (2009) — 1,337 citations
- Adaptive optimal control for continuous-time linear systems based on policy iteration (2009) — 916 citations
- Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems (2009) — 643 citations
- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers (2012) — 987 citations
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles (2012) — 270 citations
- All you need to know about model predictive control for buildings (2020) — 843 citations
- Optimal Control: Lewis/Optimal Control 3e (2012) — 1,034 citations