2 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
Guanquan Wang, Takuya Hiraoka, Yoshimasa Tsuruoka
This paper introduces Consistency Trajectory Planning (CTP), a novel offline model-based reinforcement learning method that leverages the recently proposed Consistency Trajectory M…
Soft Sensors and Process Control using AI and Dynamic Simulation
Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka
During the operation of a chemical plant, product quality must be consistently maintained, and the production of off-specification products should be minimized. Accordingly, proces…
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara +1
The number of railway service disruptions has been increasing owing to intensification of natural disasters. In addition, abrupt changes in social situations such as the COVID-19 p…