Xin Li

110 papers A* 24A 2B 3C 10Journal 57Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework.
WWW
Zhaoqi Wang, Daqing He, Zijian Zhang, Ye Liu, Jiamou Liu, Zhirui Zeng, Zhan Qin, Zhen Li, Xin Li, Hongwei Yao, Jincheng An, Yong Liu, Yi Li, Qi Sun, Xiulei Liu, Liehuang Zhu
2026 J jnl
From Scalar Rewards to Potential Trends: Shaping Potential Landscapes for Model-Based Reinforcement Learning.
CoRR
Yao-Hui Li, Zeyu Wang, Xin Li, Wei Pang, Yingfang Yuan, Zhengkun Chen, Boya Zhang, Riashat Islam, Alex Lamb, Yonggang Zhang
2026 A* conf
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning.
AAAI
Meiju Li, Ruixiang Sun, Xin Li, Mingzhong Wang
2026 J jnl
Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning.
CoRR
Zhaoqi Wang, Zijian Zhang, Daqing He, Pengtao Kou, Xin Li, Jiamou Liu, Jincheng An, Yong Liu
2026 A* conf
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization.
AAAI
Min Wang, Xin Li, Mingzhong Wang, Hasnaa Bennis
2026 J jnl
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization.
CoRR
Min Wang, Xin Li, Mingzhong Wang, Hasnaa Bennis
2025 — conf
Advancing Confidence Calibration and Quantification in Medication Recommendation.
KDD (1)
Qianyu Chen, Xin Li, Yujie Fang, Mingzhong Wang
2025 A* conf
Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues.
ICDE
Yujie Fang, Xin Li, Yuangang Pan, Xin Huang, Ivor W. Tsang
2025 J jnl
Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning.
CoRR
Zhaoqi Wang, Daqing He, Zijian Zhang, Xin Li, Liehuang Zhu, Meng Li, Jiamou Liu
2025 A* conf
Learning Fused State Representations for Control from Multi-View Observations.
ICML
Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam
2025 J jnl
Learning Fused State Representations for Control from Multi-View Observations.
CoRR
Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam
2025 — conf
Redefining Entity Integration: Theoretical Insights for GNN-Based Recommender Systems.
COCOON (2)
Yifei Wang, Jiayan Zhu, Yao Xu, Xin Li, Jiamou Liu
2025 J jnl
Resisting Poisoning Attacks in Federated Learning via Dual-Domain Distance and Trust Assessment.
IEEE Trans. Inf. Forensics Secur.
Zhaoqi Wang, Zijian Zhang, Zhen Li, Yan Wu, Ye Liu, Meng Li, Xin Li, Yong Liu, Jincheng An, Wei Liang, Liehuang Zhu
2025 J jnl
Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning.
CoRR
Leiji Zhang, Zeyu Wang, Xin Li, Yao-Hui Li
2025 A* conf
Robust Deep Signed Graph Clustering via Weak Balance Theory.
WWW
Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao
2025 J jnl
Robust Deep Signed Graph Clustering via Weak Balance Theory.
CoRR
Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao
2025 J jnl
Sharpening deep graph clustering via diverse bellwethers.
Knowl. Based Syst.
Peiyao Zhao, Xin Li, Yuangang Pan, Ivor W. Tsang, Mingzhong Wang, Lejian Liao
2025 J jnl
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning.
CoRR
Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang
2025 J jnl
Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection.
IEEE Trans. Knowl. Data Eng.
Zhenyu Guo, Qinghua Shang, Xin Li, Chengyi Li, Zijian Zhang, Zhuo Zhang, Jingjing Hu, Jincheng An, Chuanming Huang, Yang Chen, Yuguang Cai
2024 J jnl
Coarse-to-Fine Contrastive Learning on Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
2024 A conf
Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy.
GECCO
Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang
2024 — conf
Gradient Recalibration for Improved Visibility of Tail Classes in Supervised Contrastive Learning.
CAI
Genze Zhan, Xin Li, Yong Heng, Yan Zhang, Jiaojiao Wang, Peiyao Zhao, Meitao Mu, Xueying Zhu, Mingzhong Wang
2024 J jnl
Graph-Based Covert Transaction Detection and Protection in Blockchain.
IEEE Trans. Inf. Forensics Secur.
Zhenyu Guo, Xin Li, Jiamou Liu, Zijian Zhang, Meng Li, Jingjing Hu, Liehuang Zhu
2024 A* conf
Improving GNN Calibration with Discriminative Ability: Insights and Strategies.
AAAI
Yujie Fang, Xin Li, Qianyu Chen, Mingzhong Wang
2024 A* conf
Learning Latent Dynamic Robust Representations for World Models.
ICML
Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam
2024 J jnl
Learning Latent Dynamic Robust Representations for World Models.
CoRR
Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam
2024 A* conf
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components.
AAAI
Min Wang, Xin Li, Leiji Zhang, Mingzhong Wang
2024 J jnl
Signed Graph Representation Learning: A Survey.
CoRR
Zeyu Zhang, Peiyao Zhao, Xin Li, Jiamou Liu, Xinrui Zhang, Junjie Huang, Xiaofeng Zhu
2024 J jnl
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning.
IEEE Trans. Knowl. Data Eng.
Li Liu, Penggang Chen, Xin Li, William Kwok-Wai Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2023 A* conf
Behavior Prior Representation learning for Offline Reinforcement Learning.
ICLR
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023 A* conf
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding.
AAAI
Qianyu Chen, Xin Li, Kunnan Geng, Mingzhong Wang
2023 J jnl
Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study From an Optimization Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Li, Haojie Lei, Li Zhang, Mingzhong Wang
2023 J jnl
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations.
CoRR
Ye Yuan, Xin Li, Yong Heng, Leiji Zhang, Mingzhong Wang
2023 A* conf
Principled Offline RL in the Presence of Rich Exogenous Information.
ICML
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2023 J jnl
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment.
ACM Trans. Intell. Syst. Technol.
Yujie Fang, Xin Li, Rui Ye, Xiaoyan Tan, Peiyao Zhao, Mingzhong Wang
2023 A conf
Representation Learning in Deep RL via Discrete Information Bottleneck.
AISTATS
Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2023 J jnl
Towards Control-Centric Representations in Reinforcement Learning from Images.
CoRR
Chen Liu, Hongyu Zang, Xin Li, Yong Heng, Yifei Wang, Zhen Fang, Yisen Wang, Mingzhong Wang
2023 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng.
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2023 A* conf
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.
NeurIPS
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023 J jnl
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.
CoRR
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023 A* conf
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series.
AAAI
Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang
2022 J jnl
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.
CoRR
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2022 J jnl
Behavior Prior Representation learning for Offline Reinforcement Learning.
CoRR
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2022 J jnl
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation.
ACM Trans. Inf. Syst.
Hongyu Zang, Dongcheng Han, Xin Li, Zhifeng Wan, Mingzhong Wang
2022 J jnl
Coarse-to-Fine Contrastive Learning on Graphs.
CoRR
Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
2022 A* conf
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
NeurIPS
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022 J jnl
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
CoRR
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022 J jnl
Domain-Adversarial Network Alignment.
IEEE Trans. Knowl. Data Eng.
Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang
2022 J jnl
Representation Learning in Deep RL via Discrete Information Bottleneck.
CoRR
Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2022 A* conf
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning.
AAAI
Hongyu Zang, Xin Li, Mingzhong Wang
2022 J jnl
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning.
CoRR
Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2021 B conf
Multi-relational EHR representation learning with infusing information of Diagnosis and Medication.
COMPSAC
Yu Shi, Yuhang Guo, Hao Wu, Jingxiu Li, Xin Li
2021 — conf
Off-Policy Differentiable Logic Reinforcement Learning.
ECML/PKDD (2)
Li Zhang, Xin Li, Mingzhong Wang, Andong Tian
2021 J jnl
On improving knowledge graph facilitated simple question answering system.
Neural Comput. Appl.
Xin Li, Hongyu Zang, Xiaoyun Yu, Hao Wu, Zijian Zhang, Jiamou Liu, Mingzhong Wang
2021 B conf
Shared-latent Variable Network Alignment.
COMPSAC
Degen Zhang, Xin Li, Linjing Lai
2021 J jnl
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning.
CoRR
Hongyu Zang, Xin Li, Mingzhong Wang
2021 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
CoRR
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2020 J jnl
GANE: A Generative Adversarial Network Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Huiting Hong, Xin Li, Mingzhong Wang
2020 — conf
On Improving the Learning of Long-Term historical Information for Tasks with Partial Observability.
DSC
Xinwen Wang, Xin Li, Linjing Lai
2020 J jnl
Structural Representation Learning for User Alignment Across Social Networks.
IEEE Trans. Knowl. Data Eng.
Li Liu, Xin Li, William K. Cheung, Lejian Liao
2020 A* conf
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal.
AAAI
Li Zhang, Xin Li, Sen Chen, Hongyu Zang, Jie Huang, Mingzhong Wang
2020 J jnl
WiPOS: A POS Terminal Password Inference System Based on Wireless Signals.
IEEE Internet Things J.
Zijian Zhang, Nurilla Avazov, Jiamou Liu, Bakh Khoussainov, Xin Li, Keke Gai, Liehuang Zhu
2020 J jnl
Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme.
IEEE Trans. Veh. Technol.
Mussadiq Abdul Rahim, Liehuang Zhu, Xin Li, Jiamou Liu, Zijian Zhang, Zhan Qin, Salabat Khan, Keke Gai
2019 — conf
A Geographical Behavior-Based Point-of-Interest Recommendation.
BigDataSecurity/HPSC/IDS
Xiaoyun Yu, Xin Li, Jidong Li, Keke Gai
2019 J jnl
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study.
IEEE Access
Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li
2019 A* conf
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.
IJCAI
Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang
2019 J jnl
Crowdsourcing Incentives for Multi-Hop Urban Parcel Delivery Network.
IEEE Access
Huiting Hong, Xin Li, Daqing He, Yiwei Zhang, Mingzhong Wang
2019 J jnl
Deep trajectory: a deep learning approach for mobile advertising in vehicular networks.
Neural Comput. Appl.
Xin Li, Liang Yang, Yi Li, Chuan Zhou
2019 J jnl
Domain-adversarial Network Alignment.
CoRR
Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang
2019 — conf
Flexible Pressure Sensor Array with Tunable Measurement Range and High Sensitivity.
NEMS
Dandan Hui, Yichuan Wu, Xin Li, Yuxiang Xiao, Min Zhang
2019 J jnl
Hierarchical Routing for Vehicular Ad Hoc Networks via Reinforcement Learning.
IEEE Trans. Veh. Technol.
Fan Li, Xiaoyu Song, Huijie Chen, Xin Li, Yu Wang
2019 J jnl
Next and Next New POI Recommendation via Latent Behavior Pattern Inference.
ACM Trans. Inf. Syst.
Xin Li, Dongcheng Han, Jing He, Lejian Liao, Mingzhong Wang
2018 J jnl
A Structural Representation Learning for Multi-relational Networks.
CoRR
Xin Li, Huiting Hong, Lin Liu, William K. Cheung
2018 J jnl
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems.
IEEE Access
Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li
2018 J jnl
Collective semantic behavior extraction in social networks.
J. Comput. Sci.
Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu
2018 J jnl
GANE: A Generative Adversarial Network Embedding.
CoRR
Huiting Hong, Xin Li, Mingzhong Wang
2018 — conf
Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation.
ECML/PKDD (2)
Jing He, Xin Li, Lejian Liao, Mingzhong Wang
2018 J jnl
Next point-of-interest recommendation via a category-aware Listwise Bayesian Personalized Ranking.
J. Comput. Sci.
Jing He, Xin Li, Lejian Liao
2018 A* conf
Non-translational Alignment for Multi-relational Networks.
IJCAI
Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
2018 J jnl
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference.
CoRR
Jing He, Xin Li, Lejian Liao, William K. Cheung
2017 — conf
A Reinforcement Learning Approach of Data Forwarding in Vehicular Networks.
MSN
Pengfei Zhu, Lejian Liao, Xin Li
2017 A* conf
A Structural Representation Learning for Multi-relational Networks.
IJCAI
Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu
2017 J jnl
A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization.
ACM Trans. Inf. Syst.
Xin Li, Mingming Jiang, Huiting Hong, Lejian Liao
2017 A* conf
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking.
IJCAI
Jing He, Xin Li, Lejian Liao
2017 J jnl
On Improving Deep Reinforcement Learning for POMDPs.
CoRR
Pengfei Zhu, Xin Li, Pascal Poupart
2016 J jnl
A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter.
Int. J. Comput. Commun. Control
Liu Wang, Xin Li, Lejian Liao, Li Liu
2016 A* conf
Aligning Users across Social Networks Using Network Embedding.
IJCAI
Li Liu, William K. Cheung, Xin Li, Lejian Liao
2016 J jnl
Effective successive POI recommendation inferred with individual behavior and group preference.
Neurocomputing
Jialiang Chen, Xin Li, William K. Cheung, Kan Li
2016 J jnl
FriendBurst: Ranking people who get friends fast in a short time.
Neurocomputing
Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, Jianguang Du
2016 A* conf
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns.
AAAI
Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2016 — conf
On Improving a Microblog Ranking.
DSC
Jidong Li, Xin Li, Mingming Shi, Meng Zhou, Linjing Lai
2016 J jnl
On Preventing Location Attacks for Urban Vehicular Networks.
Mob. Inf. Syst.
Meng Zhou, Xin Li, Lejian Liao
2015 C conf
Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization.
KSEM
Xinqiang Zhao, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2015 C conf
Deriving an Effective Hypergraph Model for Point of Interest Recommendation.
KSEM
Meng Qi, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2015 J jnl
The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst.
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li
2014 C conf
A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs.
APWeb
Yuqing Li, Xin Li, Fan Li, Xiaofeng Zhang
2014 C conf
A Novel Topical Authority-Based Microblog Ranking.
APWeb
Yanmei Zhai, Xin Li, Jialiang Chen, Xiumei Fan, William K. Cheung
2014 C conf
A mobility clustering-based roadside units deployment for VANET.
APNOMS
Chengyuan Wang, Xin Li, Fan Li, Huimei Lu
2014 C conf
QGrid: Q-learning based routing protocol for vehicular ad hoc networks.
IPCCC
Ruiling Li, Fan Li, Xin Li, Yu Wang
2014 — conf
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors.
PAKDD (1)
Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, Guoqiang Li, Guanguo Gao, Guiying Wu
2014 C conf
TMODF: Trajectory-based multi-objective optimal data forwarding in vehicular networks.
IPCCC
Maocai Fu, Xin Li, Fan Li, Xinyu Guo, Zhili Wu
2014 — conf
Table-Driven Bus-Based Routing Protocol for Urban Vehicular Ad Hoc Networks.
WASA
Tabouche Abdeldjalil, Fan Li, Ruiling Li, Xin Li
2013 C conf
Magnetic field modeling-based energy efficient routing in wireless sensor networks.
IPCCC
Nemroud Youssouf, Xin Li, Fan Li, Huiying Yuan
2013 C conf
SEBAR: Social Energy Based Routing scheme for mobile social Delay Tolerant Networks.
IPCCC
Fan Li, Hong Jiang, Yu Wang, Xin Li, Mingzhong Wang, Tabouche Abdeldjalil
2010 J jnl
Improving POMDP Tractability via Belief Compression and Clustering.
IEEE Trans. Syst. Man Cybern. Part B
Xin Li, William K. Cheung, Jiming Liu
2009 C conf
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.
ACML
Xin Li, William K. Cheung, Jiming Liu
2007 A* conf
A novel orthogonal NMF-based belief compression for POMDPs.
ICML
Xin Li, William Kwok-Wai Cheung, Jiming Liu, Zhili Wu
2006 B conf
An Adaptation of EPCA to Image Compression and Reconstruction.
SMC
Xin Li, Zhili Wu, Xiaofeng Zhang
2006 — conf
Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition.
IAT
Xin Li, William K. Cheung, Jiming Liu
2005 — conf
Decomposing Large-Scale POMDP Via Belief State Analysis.
IAT
Xin Li, William K. Cheung, Jiming Liu