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papers

Publications (39)

cs.AI2026

LLM-assisted Semantic Option Discovery for Facilitating Adaptive Deep Reinforcement Learning

Chang Yao, Jinghui Qin, Kebing Jin +1

cs.AI2018

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning

Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati

cs.CL2024

Planning with Logical Graph-based Language Model for Instruction Generation

Fan Zhang, Kebing Jin, Hankz Hankui Zhuo

cs.AI2023

Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation

Jingjin Liu, Hankz Hankui Zhuo, Kebing Jin +3

cs.AI2023

Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge

Kebing Jin, Hankz Hankui Zhuo

cs.DS2025

Parameterized Algorithms for Spanning Tree Isomorphism by Redundant Set Size

Fangjian Shen, Yicheng Zheng, Wushao Wen +1

cs.LG2019

Transfer Value Iteration Networks

Junyi Shen, Hankz Hankui Zhuo, Jin Xu +2

cs.AI2012

Model-Lite Case-Based Planning

Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Nguyen

cs.LG2020

Federated Deep Reinforcement Learning

Hankz Hankui Zhuo, Wenfeng Feng, Yufeng Lin +2

cs.AI2023

XRoute Environment: A Novel Reinforcement Learning Environment for Routing

Zhanwen Zhou, Hankz Hankui Zhuo, Xiaowu Zhang +1

cs.AI2015

Discovering Underlying Plans Based on Distributed Representations of Actions

Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati

cs.IR2019

Federated Hierarchical Hybrid Networks for Clickbait Detection

Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang +1

cs.LG2023

Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning

Zifan Wu, Chao Yu, Chen Chen +2

cs.LG2020

Dual Graph Representation Learning

Huiling Zhu, Xin Luo, Hankz Hankui Zhuo

cs.IR2017

Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation

Han Tian, Hankz Hankui Zhuo

cs.CL2023

DPBERT: Efficient Inference for BERT based on Dynamic Planning

Weixin Wu, Hankz Hankui Zhuo

cs.AI2022

A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems

Kebing Jin, Yingkai Xiao, Hankz Hankui Zhuo +1

cs.AI2016

Plan Explicability and Predictability for Robot Task Planning

Yu Zhang, Sarath Sreedharan, Anagha Kulkarni +3

cs.AI2018

Discovering Underlying Plans Based on Shallow Models

Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati

cs.AI2025

Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey

Chao Yu, Shicheng Ye, Hankz Hankui Zhuo

cs.AI2023

Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search

Siqi Hong, Hankz Hankui Zhuo, Kebing Jin +2

cs.LG2022

Text-Based Action-Model Acquisition for Planning

Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo

cs.AI2022

Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters

Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao +2

cs.AI2021

Coordinated Proximal Policy Optimization

Zifan Wu, Chao Yu, Deheng Ye +3

cs.AI2021

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines

Xuejing Zheng, Chao Yu, Chen Chen +2

cs.AI2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Zhihao Ma, Yuzheng Zhuang, Paul Weng +4

cs.MA2023

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

Zifan Wu, Chao Yu, Chen Chen +2

cs.AI2023

Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning

Hankz Hankui Zhuo, Shuting Deng, Mu Jin +4

cs.IR2017

Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions

Junhua He, Hankz Hankui Zhuo, Jarvan Law

cs.CL2017

LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations

Jarvan Law, Hankz Hankui Zhuo, Junhua He +1

cs.AI2023

BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems

Yingkai Xiao, Jingjin Liu, Hankz Hankui Zhuo

cs.AI2023

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning

Xuechen Mu, Hankz Hankui Zhuo, Chen Chen +3

cs.AI2019

Learning Action Models from Disordered and Noisy Plan Traces

Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati

cs.AI2024

On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs

Hankz Hankui Zhuo, Xin Chen, Rong Pan

cs.AI2022

Introduction to The Dynamic Pickup and Delivery Problem Benchmark -- ICAPS 2021 Competition

Jianye Hao, Jiawen Lu, Xijun Li +4

cs.AI2019

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems

Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo +1

cs.CL2026

Prototype-Regularized Federated Learning for Cross-Domain Aspect Sentiment Triplet Extraction

Zongming Cai, Jianhang Tang, Zhenyong Zhang +3

cs.AI2026

Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models

Wenkai Yu, Jianhang Tang, Yang Zhang +4

cs.AI2018

An Integrated Development Environment for Planning Domain Modeling

Yuncong Li, Hankz Hankui Zhuo