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06/26/2023
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
The AI community is increasingly focused on merging logic with deep lear...
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10/23/2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
As deep learning blooms with growing demand for computation and data res...
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10/12/2022
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
We present a human-in-the-loop approach to generate counterfactual (CF) ...
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04/10/2022
MA-Dreamer: Coordination and communication through shared imagination
Multi-agent RL is rendered difficult due to the non-stationary nature of...
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11/11/2021
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
When humans play virtual racing games, they use visual environmental inf...
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04/07/2021
The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL
In this work, we analyze the reinstatement mechanism introduced by Ritte...
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12/25/2020
Logic Tensor Networks
Artificial Intelligence agents are required to learn from their surround...
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10/05/2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Understanding the relationships between biomedical terms like viruses, d...
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08/27/2019
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers
This paper presents a novel model-free Reinforcement Learning algorithm ...
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06/15/2019
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks
Human ability at solving complex tasks is helped by priors on object and...
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05/15/2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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07/07/2017
Computational Models of Tutor Feedback in Language Acquisition
This paper investigates the role of tutor feedback in language learning ...
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07/07/2017
External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway
This paper evaluates the impact of various event extraction systems on a...
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08/12/2016
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
This paper evaluates the difference between human pathway curation and c...
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08/12/2016
Extracting Biological Pathway Models From NLP Event Representations
This paper describes an an open-source software system for the automatic...
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07/26/2016
Grounded Lexicon Acquisition - Case Studies in Spatial Language
This paper discusses grounded acquisition experiments of increasing comp...
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07/26/2016
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction
This paper presents a computational model of the processing of dynamic s...
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07/20/2016