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08/23/2023
Utilizing Admissible Bounds for Heuristic Learning
While learning a heuristic function for forward search algorithms with m...
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05/16/2023
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning
Balancing exploration and exploitation has been an important problem in ...
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03/21/2023
Analytical Conjugate Priors for Subclasses of Generalized Pareto Distributions
This article is written for pedagogical purposes aiming at practitioners...
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09/08/2022
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics
The symbolic AI community is increasingly trying to embrace machine lear...
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09/30/2021
Width-Based Planning and Active Learning for Atari
Width-based planning has shown promising results on Atari 2600 games usi...
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09/30/2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Recent advances in reinforcement learning (RL) have led to a growing int...
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06/30/2021
Classical Planning in Deep Latent Space
Current domain-independent, classical planners require symbolic models o...
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08/26/2020
Discrete Word Embedding for Logical Natural Language Understanding
In this paper, we propose an unsupervised neural model for learning a di...
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04/27/2020
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
We achieved a new milestone in the difficult task of enabling agents to ...
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12/11/2019
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
Recent work on Neural-Symbolic systems that learn the discrete planning ...
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03/27/2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
While classical planning has been an active branch of AI, its applicabil...
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02/21/2019
Unsupervised Grounding of Plannable First-Order Logic Representation from Images
Recently, there is an increasing interest in obtaining the relational st...
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12/05/2018
Photo-Realistic Blocksworld Dataset
In this report, we introduce an artificial dataset generator for Photo-r...
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12/04/2018
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions
We propose a permutation-invariant loss function designed for the neural...
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04/29/2017
