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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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03/01/2022
Deep Temporal Interpolation of Radar-based Precipitation
When providing the boundary conditions for hydrological flood models and...
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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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09/24/2021
Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model
Testing self-driving cars in different areas requires surrounding cars w...
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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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10/26/2020
VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning
We present VisualHints, a novel environment for multimodal reinforcement...
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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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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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06/03/2018