Shubham Pateria

17 papers A* 1A 5B 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FedART: A neural model integrating federated learning and adaptive resonance theory. Neural Networks Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2025	A*	`conf`	L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning. IJCAI Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan
2025	A	`conf`	MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks. AAMAS Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024	A	`conf`	Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. AAMAS Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024	A	`conf`	Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. AAMAS Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024	B	`conf`	FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction. IJCNN Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024	J	`jnl`	HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning. Expert Syst. Appl. Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024	J	`jnl`	Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals. IEEE Trans. Neural Networks Learn. Syst. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2023	A	`conf`	Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. AAMAS Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan
2022	J	`jnl`	End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Trans. Neural Networks Learn. Syst. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2022	J	`jnl`	Hierarchical Reinforcement Learning: A Comprehensive Survey. ACM Comput. Surv. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2022	—	`—`	Methods for autonomously decomposing and performing long-horizon sequential decision tasks Shubham Pateria
2020	A	`conf`	Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. AAMAS Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2019	—	`conf`	Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. SSCI Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2016	—	`conf`	AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews. SemEval@NAACL-HLT Shubham Pateria, Prafulla Choubey
2016	B	`conf`	Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information. COLING Shubham Pateria
2016	—	`conf`	Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models. SemEval@NAACL-HLT Prafulla Choubey, Shubham Pateria