Andrew Clark | DeepAI

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∙ 05/11/2023

Neural Lyapunov Control for Discrete-Time Systems

While ensuring stability for linear systems is well understood, it remai...

0 Junlin Wu, et al. ∙

∙ 04/28/2023

Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation

In this paper, we trialled different methods of data preparation for Con...

0 Andrew Clark, et al. ∙

∙ 04/04/2023

Risk-Aware Distributed Multi-Agent Reinforcement Learning

Autonomous cyber and cyber-physical systems need to perform decision-mak...

0 Abdullah Al Maruf, et al. ∙

∙ 03/29/2021

Reinforcement Learning Beyond Expectation

The inputs and preferences of human users are important considerations i...

0 Bhaskar Ramasubramanian, et al. ∙

∙ 03/29/2021

Scalable Planning in Multi-Agent MDPs

Multi-agent Markov Decision Processes (MMDPs) arise in a variety of appl...

0 Dinuka Sahabandu, et al. ∙

∙ 07/27/2020

Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries

A cyber-physical system (CPS) is expected to be resilient to more than o...

0 Bhaskar Ramasubramanian, et al. ∙

∙ 07/22/2020

Secure Control in Partially Observable Environments to Satisfy LTL Specifications

This paper studies the synthesis of control policies for an agent that h...

0 Bhaskar Ramasubramanian, et al. ∙

∙ 06/22/2020

Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach

Advanced Persistent Threats (APTs) are stealthy customized attacks by in...

0 Shana Moothedath, et al. ∙

∙ 01/19/2020

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Reinforcement learning has been successful in training autonomous agents...

6 Baicen Xiao, et al. ∙

∙ 10/27/2019

Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates

This paper studies the satisfaction of a class of temporal properties fo...

0 Bhaskar Ramasubramanian, et al. ∙

∙ 07/20/2019

Potential-Based Advice for Stochastic Policy Learning

This paper augments the reward received by a reinforcement learning agen...

6 Baicen Xiao, et al. ∙

∙ 06/04/2019

A Differentially Private Incentive Design for Traffic Offload to Public Transportation

Increasingly large trip demands have strained urban transportation capac...

0 Luyao Niu, et al. ∙

∙ 03/16/2019

Secure Control under Partial Observability with Temporal Logic Constraints

This paper studies the synthesis of control policies for an agent that h...

0 Bhaskar Ramasubramanian, et al. ∙

∙ 11/14/2018

A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats

Advanced Persistent Threats (APTs) infiltrate cyber systems and compromi...

0 Shana Moothedath, et al. ∙

∙ 08/31/2018

Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks

Cyber-physical systems are conducting increasingly complex tasks, which ...

0 Luyao Niu, et al. ∙

∙ 07/25/2018

Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks

This paper presents a new masquerade attack called the cloaking attack a...

0 Xuhang Ying, et al. ∙

∙ 08/14/2017

Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API

Due to the growth of video data on Internet, automatic video analysis ha...

0 Hossein Hosseini, et al. ∙

∙ 12/27/2012

Group theory, group actions, evolutionary algorithms, and global optimization

In this paper we use group, action and orbit to understand how evolution...

0 Andrew Clark, et al. ∙

∙ 06/28/2012

Piecewise Linear Topology, Evolutionary Algorithms, and Optimization Problems

Schemata theory, Markov chains, and statistical mechanics have been used...

0 Andrew Clark, et al. ∙

∙ 09/15/2011

Using MOEAs To Outperform Stock Benchmarks In The Presence of Typical Investment Constraints

Portfolio managers are typically constrained by turnover limits, minimum...

0 Andrew Clark, et al. ∙