Beyond black-box advice: learning-augmented algorithms for MDPs with Q-value predictions
We study the tradeoff between consistency and robustness in the context of a single-
trajectory time-varying Markov Decision Process (MDP) with untrusted machine-learned …
trajectory time-varying Markov Decision Process (MDP) with untrusted machine-learned …
Online switching control with stability and regret guarantees
This paper considers online switching control with a finite candidate controller pool, an
unknown dynamical system, and unknown cost functions. The candidate controllers can be …
unknown dynamical system, and unknown cost functions. The candidate controllers can be …
Online stabilization of unknown linear time-varying systems
This paper studies the problem of online stabilization of an unknown discrete-time linear
time-varying (LTV) system under bounded non-stochastic (potentially adversarial) …
time-varying (LTV) system under bounded non-stochastic (potentially adversarial) …
Online adversarial stabilization of unknown networked systems
We investigate the problem of stabilizing an unknown networked linear system under
communication constraints and adversarial disturbances. We propose the first provably …
communication constraints and adversarial disturbances. We propose the first provably …
Online Adversarial Stabilization of Unknown Linear Time-Varying Systems
This paper studies the problem of online stabilization of an unknown discrete-time linear
time-varying (LTV) system under bounded non-stochastic (potentially adversarial) …
time-varying (LTV) system under bounded non-stochastic (potentially adversarial) …
Online convex optimization with unbounded memory
Online convex optimization (OCO) is a widely used framework in online learning. In each
round, the learner chooses a decision in a convex set and an adversary chooses a convex …
round, the learner chooses a decision in a convex set and an adversary chooses a convex …
Online Control for Linear Dynamics: A Data-Driven Approach
Z Liu, Y Chen - arXiv preprint arXiv:2308.08138, 2023 - arxiv.org
This paper considers an online control problem over a linear time-invariant system with
unknown dynamics, bounded disturbance, and adversarial cost. We propose a data-driven …
unknown dynamics, bounded disturbance, and adversarial cost. We propose a data-driven …