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01/26/2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
In reinforcement learning (RL) with experience replay, experiences store...
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08/08/2022
Soft Sensors and Process Control using AI and Dynamic Simulation
During the operation of a chemical plant, product quality must be consis...
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01/17/2022
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
The number of railway service disruptions has been increasing owing to i...
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10/05/2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Randomized ensemble double Q-learning (REDQ) has recently achieved state...
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06/04/2020
Meta-Model-Based Meta-Policy Optimization
Model-based reinforcement learning (MBRL) has been applied to meta-learn...
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05/22/2019
Learning Robust Options by Conditional Value at Risk Optimization
Options are generally learned by using an inaccurate environment model (...
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03/06/2019
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning
Chemical plants are complex and dynamical systems consisting of many com...
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09/29/2018
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients
Hierarchical planners that produce interpretable and appropriate plans a...
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09/07/2018
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks
Monte Carlo Tree Search (MCTS) is particularly adapted to domains where ...
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06/28/2018
Hierarchical Reinforcement Learning with Abductive Planning
One of the key challenges in applying reinforcement learning to real-lif...
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06/19/2018