Technology
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
Jian QIAN, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
The exploration bonus is an effective approach to manage the explorationexploitation trade-offinMarkovDecision Processes (MDPs).
Re-evaluating evaluation
David Balduzzi, Karl Tuyls, Julien Perolat, Thore Graepel
Consider An n= grad (r)+ A grad (r)+ C| 0 B @ 01 10 ... 1 C
Efficient inference for time-varying behavior during learning
Nicholas G. Roy, Ji Hyun Bak, Athena Akrami, Carlos Brody, Jonathan W. Pillow
Neural Information Processing Systems http://nips.cc/
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
Neural Information Processing Systems http://nips.cc/
Supplementary Material StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller Contents
However, TFLM's interpreter increases the performance overhead of the TinyML applications on MCUs. Unlike TFLM, StreamNet and MCUNetv2 replace the interpreter with a code generator. The system architecture of StreamNet contains the frontend and backend processing. Table 1 presents the data of StreamNet-2D. In Table 1, StreamNet achieves a geometric mean of 5.11X speedup TinyML models collected at the compile time to guide its auto-tuning framework.
Radio waves could help driverless cars see around corners
HoloRadar helps give the vehicles a more complete picture of their surroundings. Breakthroughs, discoveries, and DIY tips sent six days a week. In late January, an Alphabet-owned Waymo self-driving car was cruising near an elementary school in Santa Monica, California, when a young child suddenly darted into the street . Waymo's LiDAR sensors detected the student, who had just emerged from behind a parked SUV, but it was too late. Despite slamming on the brakes and slowing from 17 to six mph, the driverless car struck the child, knocking them to the pavement.