138 citations · 223 across the 13 of their papers we have counts for
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cs.RO2019★ 2 cited
Multilevel Monte-Carlo for Solving POMDPs Online
Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov Decision Process (POMD…
cs.RO2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics
Nicholas Collins, Hanna Kurniawati
We propose a neural network architecture, called TransNet, that combines planning and model learning for solving Partially Observable Markov Decision Processes (POMDPs) with non-un…
cs.CR2019★ 62 cited
Autonomous Penetration Testing using Reinforcement Learning
Jonathon Schwartz, Hanna Kurniawati
Penetration testing (pentesting) involves performing a controlled attack on a computer system in order to assess it's security. Although an effective method for testing security, p…