Hamidreza Modares
Computational Theory and Mathematics · 2013–2018
A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 66 citations into it; #1,517 of 12,182 by trust here, #2,015 by citations
- Control and Systems Engineering — 45 citations into it; #1,939 of 8,257 by trust here, #2,147 by citations
- Artificial Intelligence — 37 citations into it; #11,096 of 35,345 by trust here, #17,110 by citations
- Electrical and Electronic Engineering — 33 citations into it; #4,733 of 16,539 by trust here, #11,313 by citations
- Reinforcement Learning — 32 citations into it
- Biomedical Engineering — 12 citations into it; #2,667 of 10,734 by trust here, #7,854 by citations
- Mathematical Optimization — 9 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Hamidreza Modares trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank L. Lewis
- Draguna L. Vrabie
- Yu Jiang
- Huaguang Zhang
- Kenji Doya
- Murad Abu-Khalaf
- Kyriakos G. Vamvoudakis
- Paul J. Werbos
- Richard S. Sutton
- Zhong-Ping Jiang
Who trusts Hamidreza Modares overall
- Derong Liu
- Biao Luo
- Ding Wang
- Huaguang Zhang
- Qinglai Wei
- Yong-ming Li
- Frank L. Lewis
- Shan Xue
- He Jiang
- Xiong Yang
Papers from Hamidreza Modares's perspective
Ordered by how strongly the researchers Hamidreza Modares trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Dynamic Programming and Markov Processes
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Learning from delayed rewards
- A Menu of Designs for Reinforcement Learning Over Time
- Adaptive optimal control for continuous-time linear systems based on policy iteration (at - Automatisierungstechnik)
- Practical Issues in Temporal Difference Learning
- Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem (2009 International Joint Conference on Neural Networks)
- Approximate dynamic programming: solving the curses of dimensionality
- Reinforcement Learning in Continuous Time and Space
Their papers
- $ {H}_{ {\infty }}$ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning (2015) — 400 citations
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (2014) — 522 citations
- Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks (2013) — 411 citations
- Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics (2014) — 533 citations
- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning (2014) — 630 citations
- Optimal and Autonomous Control Using Reinforcement Learning: A Survey (2018) — 807 citations
- Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning (2014) — 390 citations