155 citations · 765 across the 63 of their papers we have counts for
7 papers · 1 filter
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs
Toshiyuki T. Yokoyama, Masashi Okada, Tadahiro Taniguchi
Annual recruitment data of new graduates are manually analyzed by human resources specialists (HR) in industries, which signifies the need to evaluate the recruitment strategy of H…
Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems
Tatsumi Oba, Tadahiro Taniguchi
Whitelisting is considered an effective security monitoring method for networks used in industrial control systems, where the whitelists consist of observed tuples of the IP addres…
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
Masashi Okada, Tadahiro Taniguchi
In the present paper, we propose a decoder-free extension of Dreamer, a leading model-based reinforcement learning (MBRL) method from pixels. Dreamer is a sample- and cost-efficien…
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
Masashi Okada, Norio Kosaka, Tadahiro Taniguchi
In the present paper, we propose an extension of the Deep Planning Network (PlaNet), also referred to as PlaNet of the Bayesians (PlaNet-Bayes). There has been a growing demand in…
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi +1
Robots are required to not only learn spatial concepts autonomously but also utilize such knowledge for various tasks in a domestic environment. Spatial concept represents a multim…
Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots
Akira Taniguchi, Shota Isobe, Lotfi El Hafi +2
Tidy-up tasks by service robots in home environments are challenging in robotics applications because they involve various interactions with the environment. In particular, robots…