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08/03/2023
Diffusion-based Time Series Data Imputation for Microsoft 365
Reliability is extremely important for large-scale cloud systems like Mi...
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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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05/19/2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Large Language Model (LLM) has gained popularity and achieved remarkable...
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11/21/2022
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Oversubscription is a common practice for improving cloud resource utili...
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08/13/2021
TDM: Trustworthy Decision-Making via Interpretability Enhancement
Human-robot interactive decision-making is increasingly becoming ubiquit...
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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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09/17/2019
Proceedings 35th International Conference on Logic Programming (Technical Communications)
Since the first conference held in Marseille in 1982, ICLP has been the ...
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08/10/2019
Introduction to the 35th International Conference on Logic Programming Special Issue
We are proud to introduce this special issue of Theory and Practice of L...
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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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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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11/21/2018
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Task-motion planning (TMP) addresses the problem of efficiently generati...
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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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10/16/2018
Social Behavior Learning with Realistic Reward Shaping
Deep reinforcement learning has been widely applied in the field of robo...
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04/20/2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Reinforcement learning and symbolic planning have both been used to buil...
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12/20/2013
On the Semantics of Gringo
Input languages of answer set solvers are based on the mathematically si...
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01/08/2013
Lloyd-Topor Completion and General Stable Models
We investigate the relationship between the generalization of program co...
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10/15/2012
Relational Theories with Null Values and Non-Herbrand Stable Models
Generalized relational theories with null values in the sense of Reiter ...
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03/23/2011
