Learning Plans with Patterns of Actions in Bounded-Rational Agents. - Budhitama Subagdja; Liz Sonenberg (KES (3), 2005)

Plans as Products of Learning. - Samin Karim; Budhitama Subagdja; Liz Sonenberg (IAT, 2006)

Learning as Abductive Deliberations. - Budhitama Subagdja; Iyad Rahwan; Liz Sonenberg (PRICAI, 2006)

Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. - Budhitama Subagdja; Ah-Hwee Tan (IAT, 2008)

A self-organizing neural network architecture for intentional planning agents. - Budhitama Subagdja; Ah-Hwee Tan (AAMAS (2), 2009)

Intentional learning agent architecture. - Budhitama Subagdja; Liz Sonenberg; Iyad Rahwan (Auton. Agents Multi Agent Syst., 2009)

A self-organizing approach to episodic memory modeling. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk (IJCNN, 2010)

Virtual characters in agent-augmented co-space (demonstration). - Yilin Kang 001; Budhitama Subagdja; Ah-Hwee Tan; Yew-Soon Ong; Chunyan Miao (AAMAS, 2012)

Memory formation, consolidation, and forgetting in learning agents. - Budhitama Subagdja; Wenwen Wang 002; Ah-Hwee Tan; Yuan-Sin Tan; Loo-Nin Teow (AAMAS, 2012)

A self-organizing multi-memory system for autonomous agents. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Yuan-Sin Tan (IJCNN, 2012)

iFALCON: A neural architecture for hierarchical planning. - Budhitama Subagdja; Ah-Hwee Tan (Neurocomputing, 2012)

Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk (IEEE Trans. Neural Networks Learn. Syst., 2012)

On coordinating pervasive persuasive agents. - Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2014)

Towards intelligent caring agents for Aging-In-Place: Issues and challenges. - Di Wang 004; Budhitama Subagdja; Yilin Kang 001; Ah-Hwee Tan; Daqing Zhang 001 (CIHLI, 2014)

Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care. - Budhitama Subagdja; Ah-Hwee Tan (WI-IAT (2), 2015)

Silver Assistants for Aging-in-Place. - Di Wang 004; Budhitama Subagdja; Yilin Kang 001; Ah-Hwee Tan (WI-IAT (3), 2015)

Neural modeling of sequential inferences and learning over episodic memory. - Budhitama Subagdja; Ah-Hwee Tan (Neurocomputing, 2015)

Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems. - Budhitama Subagdja; Ah-Hwee Tan (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. - Budhitama Subagdja; Ah-Hwee Tan (AAAI, 2017)

Beyond Autonomy: The Self and Life of Social Agents. - Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2019)

End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. - Zichen Chen; Budhitama Subagdja; Ah-Hwee Tan (ICA, 2019)

Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. - Tianze Luo; Budhitama Subagdja; Di Wang 004; Ah-Hwee Tan (ICA, 2019)

Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (SSCI, 2019)

A coordination framework for multi-agent persuasion and adviser systems. - Budhitama Subagdja; Ah-Hwee Tan; Yilin Kang 001 (Expert Syst. Appl., 2019)

Self-organizing neural networks for universal learning and multimodal memory encoding. - Ah-Hwee Tan; Budhitama Subagdja; Di Wang 004; Lei Meng 001 (Neural Networks, 2019)

Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2020)

Who Am I?: Towards Social Self-Awareness for Intelligent Agents. - Budhitama Subagdja; Han Yi Tay; Ah-Hwee Tan (IJCAI, 2020)

Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. - Yue Hu; Budhitama Subagdja; Ah-Hwee Tan; Quanjun Yin (CoRR, 2020)

Interpretable Goal Recognition for Path Planning with ART Networks. - Yue Hu; Kai Xu 014; Budhitama Subagdja; Ah-Hwee Tan; Quanjun Yin (IJCNN, 2021)

Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games. - Weigui Jair Zhou; Budhitama Subagdja; Ah-Hwee Tan; Darren Wee Sze Ong (Expert Syst. Appl., 2021)

Hierarchical Reinforcement Learning: A Comprehensive Survey. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan; Chai Quek (ACM Comput. Surv., 2022)

Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models. - Yue Hu; Budhitama Subagdja; Ah-Hwee Tan; Chai Quek; Quanjun Yin (Neural Comput. Appl., 2022)

Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks. - Yue Hu; Budhitama Subagdja; Ah-Hwee Tan; Quanjun Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan; Chai Quek (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. - Khaing Phyo Wai; Minghong Geng; Budhitama Subagdja; Shubham Pateria; Ah-Hwee Tan (AAMAS, 2023)

Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. - Autumn Teo; Zhaoxia Wang 001; Haibo Pen; Budhitama Subagdja; Seng-Beng Ho; Boon-Kiat Quek (ICDM (Workshops), 2023)

Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. - Tianze Luo; Zichen Chen; Budhitama Subagdja; Ah-Hwee Tan (IEEE Access, 2023)

Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2024)

Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. - Khaing Phyo Wai; Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2024)

FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction. - Doudou Wu; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (IJCNN, 2024)

Self-Supervised Fine-Tuning for Neural Expert Finding. - Budhitama Subagdja; Sanchari Dan; Ah-Hwee Tan (WI/IAT, 2024)

HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (Expert Syst. Appl., 2024)

Machine Learning for Refining Knowledge Graphs: A Survey. - Budhitama Subagdja; D. Shanthoshigaa; Zhaoxia Wang 001; Ah-Hwee Tan (ACM Comput. Surv., 2024)

Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan; Chai Quek (IEEE Trans. Neural Networks Learn. Syst., 2024)

SINEW 15 Biomarker Dataset. - Ah-Hwee Tan; Budhitama Subagdja; D. Shanthoshigaa; Weng-Yan Ying; Iris Rawtaer (IEEE DataPort, 2024)

SINEW 15 - Monthly Biomarker Dataset. - Ah-Hwee Tan; Budhitama Subagdja; D. Shanthoshigaa; Weng-Yan Ying; Iris Rawtaer (IEEE DataPort, 2024)

SINEW 15 2023. - Ah-Hwee Tan; Budhitama Subagdja; Weng-Yan Ying; D. Shanthoshigaa; Iris Rawtaer (IEEE DataPort, 2024)

SINEW 15 - Weekly Biomarker Dataset. - Ah-Hwee Tan; Budhitama Subagdja; Weng-Yan Ying; D. Shanthoshigaa; Iris Rawtaer (IEEE DataPort, 2024)

MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2025)

FedART: A neural model integrating federated learning and adaptive resonance theory. - Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (Neural Networks, 2025)

Relation prediction in knowledge graphs: A self-organizing neural network approach. - Budhitama Subagdja; D. Shanthoshigaa; Ah-Hwee Tan (Neural Networks, 2025)

DisambiguART: A Neural-based Inference Model for Knowledge Graph Disambiguation. - Budhitama Subagdja; D. Shanthoshigaa; Ah-Hwee Tan (ACM Trans. Knowl. Discov. Data, 2025)