Search Results for author:
Found 9 papers, 2 papers with code
Delay-Induced Watermarking for Detection of Replay Attacks in Linear Systems
A state-feedback watermarking signal design for the detection of replay attacks in linear systems is proposed.
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications
We study time-robust path planning for synthesizing robots' trajectories that adhere to spatial-temporal specifications expressed in Signal Temporal Logic (STL).
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
In this study, we conduct a thorough iteration complexity analysis for the risk-sensitive policy gradient method, focusing on the REINFORCE algorithm and employing the exponential utility function.
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations
The expected value is the average over the statistical ensemble of infinitely many trajectories.
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning
We propose a method for learning these value functions using common techniques from reinforcement learning and derive sufficient conditions for its success.
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
There is an emerging interest in generating robust counterfactual explanations that would remain valid if the model is updated or changed even slightly.
Risk-Sensitive Reinforcement Learning with Exponential Criteria
While reinforcement learning has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, leading to high variance in the total reward amongst different episodes in slightly different environments.
Co-Design of Watermarking and Robust Control for Security in Cyber-Physical Systems
This work discusses a novel framework for simultaneous synthesis of optimal watermarking signal and robust controllers in cyber-physical systems to minimize the loss in performance due to added watermarking signal and to maximize the detection rate of the attack.
Collaborative Beamforming Under Localization Errors: A Discrete Optimization Approach
In particular, we formulate a discrete optimization problem to choose only a subset of agents to transmit the message signal so that the variance of the signal-to-noise ratio (SNR) received by the base station is minimized while the expected SNR exceeds a desired threshold.
