240 citations · 364 across the 22 of their papers we have counts for
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cs.RO2018
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
Many current autonomous systems are being designed with a strong reliance on black box predictions from deep neural networks (DNNs). However, DNNs tend to be overconfident in predi…
cs.RO2018
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
Robots that navigate among pedestrians use collision avoidance algorithms to enable safe and efficient operation. Recent works present deep reinforcement learning as a framework to…