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ORCIDBudhitama Subagdja
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2020 – today
- 2025
[j17]Shubham Pateria
, Budhitama Subagdja, Ah-Hwee Tan:
FedART: A neural model integrating federated learning and adaptive resonance theory. Neural Networks 181: 106845 (2025)- 2024
- [j16]Budhitama Subagdja, D. Shanthoshigaa, Zhaoxia Wang, Ah-Hwee Tan:
Machine Learning for Refining Knowledge Graphs: A Survey. ACM Comput. Surv. 56(6): 156:1-156:38 (2024) - [j15]Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning. Expert Syst. Appl. 252: 124117 (2024) - [j14]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10288-10300 (2024) - [c26]Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. AAMAS 2024: 2279-2281 - [c25]Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. AAMAS 2024: 2537-2539 - [c24]Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction. IJCNN 2024: 1-8 - 2023
- [j13]Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration. IEEE Access 11: 15680-15692 (2023) - [c23]Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan:
Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. AAMAS 2023: 2325-2327 - [c22]Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek:
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. ICDM (Workshops) 2023: 791-798 - 2022
- [j12]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
Hierarchical Reinforcement Learning: A Comprehensive Survey. ACM Comput. Surv. 54(5): 109:1-109:35 (2022) - [j11]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin:
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models. Neural Comput. Appl. 34(17): 14859-14879 (2022) - [j10]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7101-7113 (2022) - [j9]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7778-7790 (2022) - 2021
- [j8]Weigui Jair Zhou, Budhitama Subagdja, Ah-Hwee Tan, Darren Wee Sze Ong:
Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games. Expert Syst. Appl. 186: 115707 (2021) - [c21]Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Interpretable Goal Recognition for Path Planning with ART Networks. IJCNN 2021: 1-8 - 2020
- [c20]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. AAMAS 2020: 1963-1965 - [c19]Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan:
Who Am I?: Towards Social Self-Awareness for Intelligent Agents. IJCAI 2020: 4396-4402 - [i1]Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. CoRR abs/2010.00187 (2020)
2010 – 2019
- 2019
- [j7]Budhitama Subagdja, Ah-Hwee Tan, Yilin Kang:
A coordination framework for multi-agent persuasion and adviser systems. Expert Syst. Appl. 116: 31-51 (2019) - [j6]Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng:
Self-organizing neural networks for universal learning and multimodal memory encoding. Neural Networks 120: 58-73 (2019) - [c18]Budhitama Subagdja, Ah-Hwee Tan:
Beyond Autonomy: The Self and Life of Social Agents. AAMAS 2019: 1654-1658 - [c17]Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan:
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. ICA 2019: 2-7 - [c16]Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. ICA 2019: 99-102 - [c15]Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. SSCI 2019: 86-93 - 2017
- [c14]Budhitama Subagdja, Ah-Hwee Tan:
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. AAAI 2017: 4452-4458 - 2016
- [j5]Budhitama Subagdja, Ah-Hwee Tan:
Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 46(12): 1724-1735 (2016) - 2015
- [j4]Budhitama Subagdja, Ah-Hwee Tan:
Neural modeling of sequential inferences and learning over episodic memory. Neurocomputing 161: 229-242 (2015) - [c13]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan:
Silver Assistants for Aging-in-Place. WI-IAT (3) 2015: 241-242 - [c12]Budhitama Subagdja, Ah-Hwee Tan:
Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care. WI-IAT (2) 2015: 352-359 - 2014
- [c11]Budhitama Subagdja, Ah-Hwee Tan:
On coordinating pervasive persuasive agents. AAMAS 2014: 1467-1468 - [c10]Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan, Daqing Zhang:
Towards intelligent caring agents for Aging-In-Place: Issues and challenges. CIHLI 2014: 102-109 - 2012
- [j3]Budhitama Subagdja, Ah-Hwee Tan:
iFALCON: A neural architecture for hierarchical planning. Neurocomputing 86: 124-139 (2012) - [j2]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1574-1586 (2012) - [c9]Budhitama Subagdja, Wenwen Wang, Ah-Hwee Tan, Yuan-Sin Tan, Loo-Nin Teow:
Memory formation, consolidation, and forgetting in learning agents. AAMAS 2012: 1007-1014 - [c8]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Virtual characters in agent-augmented co-space (demonstration). AAMAS 2012: 1465-1466 - [c7]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Yuan-Sin Tan:
A self-organizing multi-memory system for autonomous agents. IJCNN 2012: 1-8 - 2010
- [c6]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
A self-organizing approach to episodic memory modeling. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j1]Budhitama Subagdja, Liz Sonenberg, Iyad Rahwan:
Intentional learning agent architecture. Auton. Agents Multi Agent Syst. 18(3): 417-470 (2009) - [c5]Budhitama Subagdja, Ah-Hwee Tan:
A self-organizing neural network architecture for intentional planning agents. AAMAS (2) 2009: 1081-1088 - 2008
- [c4]Budhitama Subagdja, Ah-Hwee Tan:
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. IAT 2008: 231-237 - 2006
- [c3]Samin Karim, Budhitama Subagdja, Liz Sonenberg:
Plans as Products of Learning. IAT 2006: 139-145 - [c2]Budhitama Subagdja, Iyad Rahwan, Liz Sonenberg:
Learning as Abductive Deliberations. PRICAI 2006: 11-20 - 2005
- [c1]Budhitama Subagdja, Liz Sonenberg:
Learning Plans with Patterns of Actions in Bounded-Rational Agents. KES (3) 2005: 30-36
Coauthor Index
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