no code implementations • 14 Apr 2023 • ZiYun Wang, Fernando Cladera Ojeda, Anthony Bisulco, Daewon Lee, Camillo J. Taylor, Kostas Daniilidis, M. Ani Hsieh, Daniel D. Lee, Volkan Isler
Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to standard CMOS-based imagers.
no code implementations • 18 Nov 2020 • Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
This paper presents a Dynamic Vision Sensor (DVS) based system for reasoning about high speed motion.
no code implementations • 3 Apr 2020 • Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
This paper presents a novel end-to-end system for pedestrian detection using Dynamic Vision Sensors (DVSs).
no code implementations • 25 Sep 2019 • Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee
We implement the objective with an adversarial Q-learning method in which Q and Qx are the action-value functions for extrinsic and secondary rewards, respectively.
no code implementations • 19 Jun 2019 • Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee
We then propose a deep reinforcement learning method, QXplore, which exploits the temporal difference error of a Q-function to solve hard exploration tasks in high-dimensional MDPs.