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09/18/2019
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming
Recent successes of Reinforcement Learning (RL) allow an agent to learn ...
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06/17/2019
PACMAN: A Planner-Actor-Critic Architecture for Human-Centered Planning and Learning
Conventional reinforcement learning (RL) allows an agent to learn polici...
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06/03/2019
2019 Evolutionary Algorithms Review
Evolutionary algorithm research and applications began over 50 years ago...
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05/06/2019
Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform
Machine learning is becoming an essential part of developing solutions f...
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10/31/2018
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Deep reinforcement learning (DRL) has gained great success by learning d...
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10/31/2018
SDRL: Interpretable and Data-efficient Deep Reinforcement LearningLeveraging Symbolic Planning
Deep reinforcement learning (DRL) has gained great success by learning d...
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06/26/2018
A Practical Incremental Learning Framework For Sparse Entity Extraction
This work addresses challenges arising from extracting entities from tex...
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04/20/2018
