Regret bounds for the adaptive control of linear quadratic systems, Proceedings of the 24th Annual Conference on Learning Theory, vol.19, pp.9-11, 2011. ,
Stochastic Linear Bandits, Bandit Algorithms, vol.24, pp.205-218, 2020. ,
Quadratic Optimization Problems, Linear Algebra and Optimization with Applications to Machine Learning, vol.80, pp.167-190, 2020. ,
Adaptive model predictive control for constrained nonlinear systems, Systems & Control Letters, vol.58, issue.5, pp.320-326, 2009. ,
Differentiable MPC for end-to-end planning and control, Advances in Neural Information Processing Systems, 2018. ,
Provably safe and robust learning-based model predictive control, Automatica, vol.49, issue.5, pp.1216-1226, 2013. ,
H/sup ?/-0ptimal Control and Related Minimax Design Problems: A Dynamic Game Approach, IEEE Transactions on Automatic Control, vol.41, issue.9, p.1397, 1996. ,
Robust Optimization, vol.28, 2009. ,
Theory and applications of robust optimization, SIAM review, vol.53, issue.3, pp.464-501, 2011. ,
Continuous-action planning for discounted infinite-horizon nonlinear optimal control with lipschitz values, Automatica, vol.92, pp.100-108, 2018. ,
On the Sample Complexity of the Linear Quadratic Regulator, Foundations of Computational Mathematics, vol.20, issue.4, pp.633-679, 2019. ,
Regret bounds for robust adaptive control of the linear quadratic regulator, Advances in Neural Information Processing Systems, vol.31, pp.4188-4197, 2018. ,
Minkowski Sum of Polytopes Defined by Their Vertices, Journal of Applied Mathematics and Physics (JAMP), vol.3, issue.1, pp.62-67, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01092040
Interval estimation for LPV systems applying high order sliding mode techniques, Automatica, vol.48, issue.9, pp.2365-2371, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00701643
Interval state observer for nonlinear time varying systems, Automatica, vol.49, issue.1, pp.200-205, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00719911
Finite time analysis of optimal adaptive policies for linear-quadratic systems, CoRR, 2017. ,
Adaptive model predictive control for a class of constrained linear systems based on the comparison model, Automatica, 2007. ,
A practical guide to robust optimization, Omega, vol.53, pp.124-137, 2015. ,
Optimistic planning of deterministic systems, European Workshop on Reinforcement Learning, pp.151-164, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00830182
Efficient reinforcement learning for high dimensional linear quadratic systems, Advances in Neural Information Processing Systems, vol.4, 2013. ,
, Robust Dynamic Programming. Mathematics of Operations Research, vol.30, pp.257-280, 2005.
Linear robust adaptive model predictive control: Computational complexity and conservatism, 2019 IEEE 58th Conference on Decision and Control (CDC), pp.1383-1388, 2019. ,
Robust lqr controller design for stabilizing and trajectory tracking of inverted pendulum, International Conference on Design and Manufacturing, vol.64, pp.169-178, 2013. ,
Learning deep latent features for model predictive control, Robotics: Science and Systems, 2015. ,
An environment for autonomous driving decision-making, 2018. ,
Social attention for autonomous decision-making in dense traffic, Machine Learning for Autonomous Driving Workshop at NeurIPS, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02383940
Interval prediction for continuous-time systems with parametric uncertainties, Proc. IEEE Conference on Decision and Control (CDC), 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02383571
Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems, 2020 IEEE 59th Conference on Decision and Control (CDC), pp.8-11, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02942414
End-to-end training of deep visuomotor policies, 2015. ,
Adaptive model predictive control with robust constraint satisfaction, vol.50, pp.3313-3318, 2017. ,
Robust adaptive tube model predictive control, Proceedings of the American Control Conference, vol.9781538679265, 2019. ,
Robust sliding mode control of uncertain nonlinear systems, Systems & Control Letters, vol.32, issue.2, pp.75-90, 1997. ,
Human-level control through deep reinforcement learning, Nature, vol.518, issue.7540, pp.529-533, 2015. ,
Robust Control of Markov Decision Processes with Uncertain Transition Matrices, Operations Research, vol.53, pp.780-798, 2005. ,
Learning-based control of unknown linear systems with thompson sampling, 2017. ,
, Self-normalized processes: Limit theory and Statistical Applications, 2008.
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems, Proceedings of the IEEE Conference on Decision and Control, 2019. ,
Adaptive Control: Stability, Convergence, and Robustness. The Journal of the, 1990. ,
Exploiting model uncertainty estimates for safe dynamic control learning. Advances in neural information processing systems, pp.1047-1053, 1997. ,
A general reinforcement learning algorithm that masters chess, shogi, and go through self-play, Science, vol.362, issue.6419, pp.1140-1144, 2018. ,
Adaptive receding horizon control for constrained MIMO systems, Automatica, 2014. ,
Safe exploration in finite Markov decision processes with Gaussian processes, Advances in Neural Information Processing Systems, 2016. ,
Bandit-based planning and learning in continuous-action markov decision processes, Proceedings of the 22nd International Conference on Automated Planning and Scheduling, pp.306-314, 2012. ,
Robust Markov Decision Processes. Mathematics of Operations Research, pp.1-52, 2013. ,