To understand the security threats to reinforcement learning (RL) algori...
This paper studies bandit algorithms under data poisoning attacks in a
b...
In this work, we study sequential choice bandits with feedback. We propo...
This paper focuses on learning a model of system dynamics online while
s...
We study the problem of learning-based attacks in linear systems, where ...
This paper focuses on learning a model of system dynamics online while
s...
Motivated by the necessity for parameter efficiency in distributed machi...
The δ-mutual information between uncertain variables is introduced as
a ...
In the context of event-triggered control, the timing of the triggering
...
We study online learning when partial feedback information is provided
f...
This paper investigates the adversarial Bandits with Knapsack (BwK) onli...
The problem of attacking and authenticating cyber-physical systems is
co...
In this work, we propose two different sequential and adaptive hypothesi...
In the same way that subsequent pauses in spoken language are used to co...
We consider a long-range interacting particle system in which binary
par...
We consider a long-range interacting particle system in which binary
par...
We consider the problem of stabilizing an undisturbed, scalar, linear sy...
We present an event-triggered control strategy for stabilizing a scalar,...