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08/26/2023
Planning with Logical Graph-based Language Model for Instruction Generation
Despite the superior performance of large language models to generate na...
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07/26/2023
DPBERT: Efficient Inference for BERT based on Dynamic Planning
Large-scale pre-trained language models such as BERT have contributed si...
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05/29/2023
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation
Traditional Chinese Medicine (TCM) has a rich history of utilizing natur...
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05/23/2023
XRoute Environment: A Novel Reinforcement Learning Environment for Routing
Routing is a crucial and time-consuming stage in modern design automatio...
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04/24/2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning(RL) has achieved tremendous development in recent...
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12/11/2022
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems
Hoist scheduling has become a bottleneck in electroplating industry appl...
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02/15/2022
Text-Based Action-Model Acquisition for Planning
Although there have been approaches that are capable of learning action ...
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02/15/2022
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
Automated planning focuses on strategies, building domain models and syn...
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12/11/2021
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Retrosynthetic planning problem is to analyze a complex molecule and giv...
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11/07/2021
Coordinated Proximal Policy Optimization
We present Coordinated Proximal Policy Optimization (CoPPO), an algorith...
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10/19/2021
Gradient-Based Mixed Planning with Discrete and Continuous Actions
Dealing with planning problems with both discrete logical relations and ...
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03/15/2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Recent progress in deep reinforcement learning (DRL) can be largely attr...
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02/25/2020
Dual Graph Representation Learning
Graph representation learning embeds nodes in large graphs as low-dimens...
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11/11/2019
Transfer Value Iteration Networks
Value iteration networks (VINs) have been demonstrated to be effective i...
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09/20/2019
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems
Bike Sharing Systems (BSSs) have been adopted in many major cities of th...
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08/26/2019
Learning Action Models from Disordered and Noisy Plan Traces
There is increasing awareness in the planning community that the burden ...
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06/03/2019
Federated Hierarchical Hybrid Networks for Clickbait Detection
Online media outlets adopt clickbait techniques to lure readers to click...
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01/24/2019
Federated Reinforcement Learning
In reinforcement learning, building policies of high-quality is challeng...
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04/19/2018
An Integrated Development Environment for Planning Domain Modeling
In order to make the task, description of planning domains and problems,...
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03/07/2018
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
Extracting action sequences from texts in natural language is challengin...
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03/04/2018
Discovering Underlying Plans Based on Shallow Models
Plan recognition aims to discover target plans (i.e., sequences of actio...
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03/15/2017
Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions
Collaborative filtering (CF) aims to build a model from users' past beha...
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02/23/2017
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations
Topic models have been widely used in discovering latent topics which ar...
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11/25/2015
Plan Explicability and Predictability for Robot Task Planning
Intelligent robots and machines are becoming pervasive in human populate...
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11/18/2015
Discovering Underlying Plans Based on Distributed Representations of Actions
Plan recognition aims to discover target plans (i.e., sequences of actio...
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07/28/2012