19 citations · 67 across the 15 of their papers we have counts for
4 papers · 1 filter
Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling
Masaki Furukawa, Hiroki Matsutani
A computing cluster that interconnects multiple compute nodes is used to accelerate distributed reinforcement learning based on DQN (Deep Q-Network). In distributed reinforcement l…
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
Hiroki Kawakami, Hirohisa Watanabe, Keisuke Sugiura +1
High-performance deep neural network (DNN)-based systems are in high demand in edge environments. Due to its high computational complexity, it is challenging to deploy DNNs on edge…
An Overflow/Underflow-Free Fixed-Point Bit-Width Optimization Method for OS-ELM Digital Circuit
Mineto Tsukada, Hiroki Matsutani
Currently there has been increasing demand for real-time training on resource-limited IoT devices such as smart sensors, which realizes standalone online adaptation for streaming d…
A Universal LiDAR SLAM Accelerator System on Low-cost FPGA
Keisuke Sugiura, Hiroki Matsutani
LiDAR (Light Detection and Ranging) SLAM (Simultaneous Localization and Mapping) serves as a basis for indoor cleaning, navigation, and many other useful applications in both indus…