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08/31/2023
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology
Purpose: In this paper, we present an automated method for article class...
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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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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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12/10/2020
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
Deep neural networks have recently led to promising results for the task...
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12/10/2020
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization
This paper introduces an ensemble of discriminators that improves the ac...
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12/10/2020
Learning Multiple Sound Source 2D Localization
In this paper, we propose novel deep learning based algorithms for multi...
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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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12/17/2019
Design and Implementation of Linked Planning Domain Definition Language
Planning is a critical component of any artificial intelligence system t...
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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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10/02/2018
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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09/21/2018
Constrained Exploration and Recovery from Experience Shaping
We consider the problem of reinforcement learning under safety requireme...
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09/12/2018
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process
In many real-world applications (e.g., planetary exploration, robot navi...
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08/07/2018
Deep Learning with Predictive Control for Human Motion Tracking
We propose to combine model predictive control with deep learning for th...
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07/18/2018
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion
Most real-world systems are complex and hard to model accurately. Machin...
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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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08/16/2017
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning
Generative models are widely used for unsupervised learning with various...
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08/14/2017
Deep Reinforcement Learning for High Precision Assembly Tasks
High precision assembly of mechanical parts requires accuracy exceeding ...
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07/04/2017