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Found 7 papers, 2 papers with code
Online Decision Making with History-Average Dependent Costs (Extended)
In many online sequential decision-making scenarios, a learner's choices affect not just their current costs but also the future ones.
Pointwise-in-Time Explanation for Linear Temporal Logic Rules
Our novel framework, which we define on Linear Temporal Logic (LTL) rules, assigns an intuitive status to any rule in order to describe the trajectory progress at individual time steps; here, a rule is classified as active, satisfied, inactive, or violated.
Regret-Guaranteed Safe Switching with Minimum Cost: LQR Setting with Unknown Dynamics
Externally Forced Switched (EFS) systems represent a subset of switched systems where switches occur deliberately to meet an external requirement.
Safety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version)
The problem of safely learning and controlling a dynamical system - i. e., of stabilizing an originally (partially) unknown system while ensuring that it does not leave a prescribed 'safe set' - has recently received tremendous attention in the controls community.
Joint Stabilization and Regret Minimization through Switching in Over-Actuated Systems (extended version)
Adaptively controlling and minimizing regret in unknown dynamical systems while controlling the growth of the system state is crucial in real-world applications.
Regret Bounds for LQ Adaptive Control Under Database Attacks (Extended Version)
This paper is concerned with understanding and countering the effects of database attacks on a learning-based linear quadratic adaptive controller.
On Estimating Multi-Attribute Choice Preferences using Private Signals and Matrix Factorization
Therefore, we propose a simple generative choice model where agents are assumed to generate the choice probabilities based on latent factor matrices that capture their choice evaluation across multiple attributes.
