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20132022
most citedReinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Generalized Büchi Automata

29 citations · 78 across the 18 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 2 cited

Event-Triggered Control for Mitigating SIS Spreading Processes

Kazumune Hashimoto, Yuga Onoue, Masaki Ogura +1

In this paper, we investigate the problem of designing event-triggered controllers for containing epidemic processes in complex networks. We focus on a deterministic susceptible-in…

cs.GT2020★ 9 cited

Game-theoric approach to decision-making problem for blockchain mining

Kosuke Toda, Naomi Kuze, Toshimitsu Ushio

It is an important decision-making problem for a miner in the blockchain networks if he/she participates in the mining so that he/she earns a reward by creating a new block earlier…

eess.SY2020

Learning-based Symbolic Abstractions for Nonlinear Control Systems

Kazumune Hashimoto, Adnane Saoud, Masako Kishida +2

Symbolic models or abstractions are known to be powerful tools for the control design of cyber-physical systems (CPSs) with logic specifications. In this paper, we investigate a no…

eess.SY2020

On-Line Synthesis of Permissive Supervisors for Partially Observed Discrete Event Systems under scLTL Constraints

Ami Sakakibara, Toshimitsu Ushio

We consider a supervisory control problem of a discrete event system (DES) under partial observation, where a control specification is given by a fragment of linear temporal logic.…

eess.SY2020★ 29 cited

Reinforcement Learning of Control Policy for Linear Temporal Logic Specifications Using Limit-Deterministic Generalized Büchi Automata

Ryohei Oura, Ami Sakakibara, Toshimitsu Ushio

This letter proposes a novel reinforcement learning method for the synthesis of a control policy satisfying a control specification described by a linear temporal logic formula. We…