activity
20172022
most citedSafe Multi-Agent Reinforcement Learning via Shielding

30 citations · 69 across the 12 of their papers we have counts for

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5 papers · 1 filter

eess.SY2020

Constrained Active Classification Using Partially Observable Markov Decision Processes

Bo Wu, Niklas Lauffer, Mohamadreza Ahmadi +3

In this work, we study the problem of actively classifying the attributes of dynamical systems characterized as a finite set of Markov decision process (MDP) models. We are interes…

eess.SY2020★ 2 cited

Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology

Bo Wu, Steven Carr, Suda Bharadwaj +2

We study the problem of distributed hypothesis testing over a network of mobile agents with limited communication and sensing ranges to infer the true hypothesis collaboratively. I…

eess.SY2019★ 1 cited

Online Synthesis for Runtime Enforcement of Safety in Multi-Agent Systems

Dhananjay Raju, Suda Bharadwaj, Ufuk Topcu

A shield is attached to a system to guarantee safety by correcting the system's behavior at runtime. Existing methods that employ design-time synthesis of shields do not scale to m…

eess.SY2018

Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes

Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj +1

Active classification, i.e., the sequential decision-making process aimed at data acquisition for classification purposes, arises naturally in many applications, including medical…

eess.SY2018

Transfer Entropy in MDPs with Temporal Logic Specifications

Suda Bharadwaj, Mohamadreza Ahmadi, Takashi Tanaka +1

Emerging applications in autonomy require control techniques that take into account uncertain environments, communication and sensing constraints, while satisfying highlevel missio…