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09/05/2023
TensorBank:Tensor Lakehouse for Foundation Model Training
Storing and streaming high dimensional data for foundation model trainin...
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07/05/2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Text-based reinforcement learning agents have predominantly been neural ...
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06/06/2023
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
In response to the global challenge of mental health problems, we propos...
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11/29/2022
DiffG-RL: Leveraging Difference between State and Common Sense
Taking into account background knowledge as the context has always been ...
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10/21/2021
LOA: Logical Optimal Actions for Text-based Interaction Games
We present Logical Optimal Actions (LOA), an action decision architectur...
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10/21/2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic
Deep reinforcement learning (RL) methods often require many trials befor...
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03/03/2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks
Conventional deep reinforcement learning methods are sample-inefficient ...
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09/24/2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
We show that Reinforcement Learning (RL) methods for solving Text-Based ...
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02/19/2020
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Image-based sports analytics enable automatic retrieval of key events in...
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03/23/2019
Spatially-weighted Anomaly Detection with Regression Model
Visual anomaly detection is common in several applications including med...
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10/05/2018
Spatially-weighted Anomaly Detection
Many types of anomaly detection methods have been proposed recently, and...
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10/02/2018
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation
Natural imitation in humans usually consists of mimicking visual demonst...
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06/22/2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
This paper is a contribution towards interpretability of the deep learni...
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06/03/2018
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning
This paper describes a framework called MaestROB. It is designed to make...
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06/02/2018
DAQN: Deep Auto-encoder and Q-Network
The deep reinforcement learning method usually requires a large number o...
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06/02/2018