Shubham Pateria

According to our database, Shubham Pateria authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FedART: A neural model integrating federated learning and adaptive resonance theory.

Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Neural Networks, 2025

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., August, 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

FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction.

Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models.

Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks.

Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models.

Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Methods for autonomously decomposing and performing long-horizon sequential decision tasks

Shubham Pateria

PhD thesis, 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

Hierarchical Reinforcement Learning: A Comprehensive Survey.

Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek

ACM Comput. Surv., 2022

2020

Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals.

Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards.

Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2016

AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews.

Shubham Pateria, Prafulla Choubey

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models.

Prafulla Choubey, Shubham Pateria

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information.

Shubham Pateria

Proceedings of the COLING 2016, 2016