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20192026
most citedControl Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning

12 citations · 35 across the 14 of their papers we have counts for

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cs.RO2020

Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning

Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic

We consider the problem of security-aware planning in an unknown stochastic environment, in the presence of attacks on control signals (i.e., actuators) of the robot. We model the…

cs.RO2020★ 9 cited

Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives

Alper Kamil Bozkurt, Yu Wang, Michael Zavlanos +1

We study the problem of synthesizing control strategies for Linear Temporal Logic (LTL) objectives in unknown environments. We model this problem as a turn-based zero-sum stochasti…