most citedDeep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LO2025

An STREL-based Formulation of Spatial Resilience in Cyber-Physical Systems

Zeyu Zhang, Hongkai Chen, Nicola Paoletti +2

Resiliency is the ability of a system to quickly recover from a violation (recoverability) and avoid future violations for as long as possible (durability). In the spatial setting,…

cs.AI2022

Causal Temporal Reasoning for Markov Decision Processes

Milad Kazemi, Nicola Paoletti

We introduce , a new probabilistic temporal logic for the verification of Markov Decision Processes (MDP). PCFTL is th…

eess.SY2022★ 1 cited

An STL-based Approach to Resilient Control for Cyber-Physical Systems

Hongkai Chen, Scott A. Smolka, Nicola Paoletti +1

We present ResilienC, a framework for resilient control of Cyber-Physical Systems subject to STL-based requirements. ResilienC utilizes a recently developed formalism for specifyin…

eess.SY2022

Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes

Francesca Cairoli, Nicola Paoletti, Luca Bortolussi

We consider the problem of predictive monitoring (PM), i.e., predicting at runtime the satisfaction of a desired property from the current system's state. Due to its relevance for…

cs.LO2022★ 2 cited

An STL-based Formulation of Resilience in Cyber-Physical Systems

Hongkai Chen, Shan Lin, Scott A. Smolka +1

Resiliency is the ability to quickly recover from a violation and avoid future violations for as long as possible. Such a property is of fundamental importance for Cyber-Physical S…

cs.MA2022★ 3 cited

Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation

Pallavi Bagga, Nicola Paoletti, Kostas Stathis

We study how to exploit the notion of strategy templates to learn strategies for multi-issue bilateral negotiation. Each strategy template consists of a set of interpretable parame…