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07/30/2023
Rating-based Reinforcement Learning
This paper develops a novel rating-based reinforcement learning approach...
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06/16/2023
Fairness in Preference-based Reinforcement Learning
In this paper, we address the issue of fairness in preference-based rein...
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10/15/2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach
Human demonstrations can provide trustful samples to train reinforcement...
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09/21/2020
Graph Based Multi-layer K-means++ (G-MLKM) for Sensory Pattern Analysis in Constrained Spaces
In this paper, we focus on developing a novel unsupervised machine learn...
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09/21/2020
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
In this paper, we study the problem of obtaining a control policy that c...
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12/04/2019
Deep Model Compression via Deep Reinforcement Learning
Besides accuracy, the storage of convolutional neural networks (CNN) mod...
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10/02/2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning
Solving multi-objective optimization problems is important in various ap...
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09/26/2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation
Solving multi-objective optimization problems is important in various ap...
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05/30/2017
A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization
Data-target association is an important step in multi-target localizatio...
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02/28/2017