Fetching the paper…
Reading the bibliography…
In recent years, considerable work has been done to tackle the issue of designing control laws based on observations to allow unknown dynamical systems to perform pre-specified tasks.
Safe policies for reinforcement learning via primal-dual methods
Santiago Paternain, Miguel Calvo-Fullana, Luiz FO Chamon, and Alejandro Ribeiro · 1911
Earlier work this paper cites.
Studies in linear and non-linear programming
K.J. Arrow, L. Hurwicz, and H. Uzawa · 1958
Earlier work this paper cites.
Risk-sensitive Markov decision processes
Ronald A Howard and James E Matheson · 1972
Earlier work this paper cites.
Causation
D. Lewis · 1974
Earlier work this paper cites.
Foundations of adaptive control
Petar V Kokotović · 1991
Earlier work this paper cites.
System modeling and identification , volume 1
Rolf Johansson · 1993
Earlier work this paper cites.
Projected Dynamical Systems and Variational Inequalities with Applications
A. Nagurney and D. Zhang · 1996
Earlier work this paper cites.
Normal-boundary intersection: A new method for generating the Pareto surface in nonlinear multicriteria optimization problems
I. Das and J.E. Dennis · 1998
Earlier work this paper cites.
Nonlinear Multiobjective Optimization
K. Miettinen · 1998
Earlier work this paper cites.
Chance-constrained model predictive control
A.T. Schwarm and M. Nikolaou · 1999
Earlier work this paper cites.
Robust model predictive control under chance constraints
P. Li, M. Wendt, and G. Wozny · 2000
Cited alongside, same era.
Duality, optimality conditions, and perturbation analysis
A. Shapiro · 2000
Cited alongside, same era.
The normalized normal constraint method for generating the Pareto frontier
A. Messac, A. Ismail-Yahaya, and C.A. Mattson · 2003
Cited alongside, same era.
Convex optimization
S. Boyd and L. Vandenberghe · 2004
Cited alongside, same era.
Multicriteria Optimization
M. Ehrgott · 2005
Cited alongside, same era.
Risk-sensitive reinforcement learning applied to control under constraints
Peter Geibel and Fritz Wysotzki · 2005
Cited alongside, same era.
Causality: Models, Reasoning and Inference
J. Pearl · 2009
Later among the works it cites.
Chance constrained finite horizon optimal control with nonconvex constraints
Masahiro Ono, Lars Blackmore, and Brian C Williams · 2010
Later among the works it cites.
Reinforcement learning in robotics: A survey
Jens Kober, J Andrew Bagnell, and Jan Peters · 2013
Later among the works it cites.
Asymptotic convergence of constrained primal–dual dynamics
A. Cherukuri, E. Mallada, and J. Cortés · 2016
Later among the works it cites.
Dynamic Programming and Optimal Control – Vol. I
D.P. Bertsekas · 2017
Later among the works it cites.
Predictive Control for Linear and Hybrid Systems
F. Borrelli, A. Bemporad, and M. Morari · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Woodward · 2005
Cited alongside, same era.
Optimal Control: Linear Quadratic Methods
B.D.O. Anderson and J.B. Moore · 2007
Cited alongside, same era.
Convex Optimization Theory
D.P. Bertsekas · 2009
Cited alongside, same era.
A successive approach to compute the bounded Pareto front of practical multiobjective optimization problems
D. Mueller-Gritschneder, H. Graeb, and U. Schlichtmann · 2009
Cited alongside, same era.
Constrained reinforcement learning has zero duality gap
Santiago Paternain, Luiz F.O. Chamon, Miguel Calvo-Fullana, and Alejandro Ribeiro
Cited in the paper.
Smart cities: A survey on data management, security, and enabling technologies
Ammar Gharaibeh, Mohammad A Salahuddin, Sayed Jahed Hussini, Abdallah Khreishah, Issa Khalil, Mohsen Guizani, and Ala Al-Fuqaha · 2017
Later among the works it cites.
Model Predictive Control: Theory, Computation, and Design
J.B. Rawlings, D.Q. Mayne, and M.M. Diehl · 2017
Later among the works it cites.
Solving chance constrained optimal control problems in aerospace via kernel density estimation
J-B Caillau, Max Cerf, Achille Sassi, Emmanuel Trélat, and Hasnaa Zidani · 2018
Later among the works it cites.
Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
Later among the works it cites.