14 citations · 29 across the 8 of their papers we have counts for
10 papers
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
John Mern, Kyle Hatch, Ryan Silva +2
Defending computer networks from cyber attack requires coordinating actions across multiple nodes based on imperfect indicators of compromise while minimizing disruptions to networ…
Measurable Monte Carlo Search Error Bounds
John Mern, Mykel J. Kochenderfer
Monte Carlo planners can often return sub-optimal actions, even if they are guaranteed to converge in the limit of infinite samples. Known asymptotic regret bounds do not provide a…
Obstacle Avoidance Using a Monocular Camera
Kyle Hatch, John Mern, Mykel Kochenderfer
A collision avoidance system based on simple digital cameras would help enable the safe integration of small UAVs into crowded, low-altitude environments. In this work, we present…
Improved POMDP Tree Search Planning with Prioritized Action Branching
John Mern, Anil Yildiz, Larry Bush +2
Online solvers for partially observable Markov decision processes have difficulty scaling to problems with large action spaces. This paper proposes a method called PA-POMCPOW to sa…
Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg +2
Online solvers for partially observable Markov decision processes have difficulty scaling to problems with large action spaces. Monte Carlo tree search with progressive widening at…
Towards Recurrent Autoregressive Flow Models
John Mern, Peter Morales, Mykel J. Kochenderfer
Stochastic processes generated by non-stationary distributions are difficult to represent with conventional models such as Gaussian processes. This work presents Recurrent Autoregr…