138 citations · 402 across the 159 of their papers we have counts for
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Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning
Sheng Li, Maxim Egorov, Mykel Kochenderfer
New methodologies will be needed to ensure the airspace remains safe and efficient as traffic densities rise to accommodate new unmanned operations. This paper explores how unmanne…
Markov Decision Processes For Multi-Objective Satellite Task Planning
Duncan Eddy, Mykel Kochenderfer
This paper presents a semi-Markov decision process (SMDP) formulation of the satellite task scheduling problem. This formulation can consider multiple operational objectives simult…
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing
Mark Koren, Mykel Kochenderfer
During the development of autonomous systems such as driverless cars, it is important to characterize the scenarios that are most likely to result in failure. Adaptive Stress Testi…
Object Exchangeability in Reinforcement Learning: Extended Abstract
John Mern, Dorsa Sadigh, Mykel Kochenderfer
Although deep reinforcement learning has advanced significantly over the past several years, sample efficiency remains a major challenge. Careful choice of input representations ca…
Satellite Image Tasking Under Orbit Prediction Uncertainty
Duncan Eddy, Mykel Kochenderfer
Small satellites have proven to be viable Earth observation platforms. These satellites operate in regimes of increased trajectory uncertainty where traditional planning approaches…