Kyriakos G. Vamvoudakis
Computational Theory and Mathematics · 2009–2018
A researcher in the Science corpus: 9 papers; trusts 47 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 51 citations into it; #548 of 12,182 by trust here, #761 by citations
- Reinforcement Learning — 44 citations into it
- Artificial Intelligence — 41 citations into it; #6,761 of 35,345 by trust here, #12,083 by citations
- Control and Systems Engineering — 41 citations into it; #758 of 8,257 by trust here, #822 by citations
- Electrical and Electronic Engineering — 19 citations into it; #695 of 16,539 by trust here, #5,675 by citations
- Computer Networks and Communications — 18 citations into it; #6,981 of 9,886 by trust here, #7,140 by citations
- Management Science and Operations Research — 9 citations into it
- Mathematical Optimization — 9 citations into it
Whom Kyriakos G. Vamvoudakis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. Werbos
- Dimitri P. Bertsekas
- Frank L. Lewis
- Richard S. Sutton
- Victor M. Becerra
- Murad Abu-Khalaf
- Andrew Barto
- Draguna L. Vrabie
- Wei Ren
- John N. Tsitsiklis
Who trusts Kyriakos G. Vamvoudakis overall
- Frank L. Lewis
- Huaguang Zhang
- Derong Liu
- Hamidreza Modares
- Ding Wang
- Yanhong Luo
- Ali Heydari
- Draguna L. Vrabie
- Maojiao Ye
- Qinglai Wei
Papers from Kyriakos G. Vamvoudakis's perspective
Ordered by how strongly the researchers Kyriakos G. Vamvoudakis 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
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Coordination of groups of mobile autonomous agents using nearest neighbor rules
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Neuro-Dynamic Programming
Their papers
- Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem (2009) — 1,607 citations
- Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data (2011) — 497 citations
- Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations (2011) — 489 citations
- A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems (2013) — 582 citations
- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers (2012) — 987 citations
- Optimal and Autonomous Control Using Reinforcement Learning: A Survey (2018) — 807 citations
- Multi-agent differential graphical games (2011) — 335 citations
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles (2012) — 270 citations
- Detection in Adversarial Environments (2014) — 98 citations