Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization. - Briti Gangopadhyay; Siddartha Khastgir; Sumanta Dey; Pallab Dasgupta; Giovanni Montana; Paul A. Jennings (ITSC, 2019)

Safety Augmentation in Decision Trees. - Sumanta Dey; Pallab Dasgupta; Briti Gangopadhyay (AISafety@IJCAI, 2020)

Semi-Lexical Languages - A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision. - Briti Gangopadhyay; Somnath Hazra; Pallab Dasgupta (CoRR, 2020)

Counterexample Guided RL Policy Refinement Using Bayesian Optimization. - Briti Gangopadhyay; Pallab Dasgupta (NeurIPS, 2021)

Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep-learning based computer vision. - Briti Gangopadhyay; Somnath Hazra; Pallab Dasgupta (Pattern Recognit. Lett., 2021)

PruVer: Verification Assisted Pruning for Deep Reinforcement Learning. - Briti Gangopadhyay; Pallab Dasgupta; Soumyajit Dey (PRICAI (1), 2022)

Hierarchical Program-Triggered Reinforcement Learning Agents for Automated Driving. - Briti Gangopadhyay; Harshit Soora; Pallab Dasgupta (IEEE Trans. Intell. Transp. Syst., 2022)

Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract). - Briti Gangopadhyay; Pallab Dasgupta; Soumyajit Dey (AAAI, 2023)

Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning. - Briti Gangopadhyay; Pallab Dasgupta; Soumyajit Dey (AAMAS, 2023)

Safe and Stable RL (S2RL) Driving Policies Using Control Barrier and Control Lyapunov Functions. - Briti Gangopadhyay; Pallab Dasgupta; Soumyajit Dey (IEEE Trans. Intell. Veh., 2023)

MAGNets: Micro-Architectured Group Neural Networks. - Sumanta Dey; Briti Gangopadhyay; Pallab Dasgupta; Soumyajit Dey (AAMAS, 2024)

Integrating Domain Knowledge for handling Limited Data in Offline RL. - Briti Gangopadhyay; Zhao Wang 009; Jia-Fong Yeh; Shingo Takamatsu (CoRR, 2024)

Augmenting Offline RL with Unlabeled Data. - Zhao Wang 009; Briti Gangopadhyay; Jia-Fong Yeh; Shingo Takamatsu (CoRR, 2024)

Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL). - Alberto Silvio Chiappa; Briti Gangopadhyay; Zhao Wang 009; Shingo Takamatsu (CoRR, 2024)

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising. - Zhao Wang 009; Briti Gangopadhyay; Mengjie Zhao; Shingo Takamatsu (COLING (Industry), 2025)

Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits. - Briti Gangopadhyay; Zhao Wang 009; Alberto Silvio Chiappa; Shingo Takamatsu (AAMAS, 2025)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems. - Zhao Wang 009; Sota Moriyama; Wei-Yao Wang; Briti Gangopadhyay; Shingo Takamatsu (CoRR, 2025)

Enhancing Generalization of Offline RL in Data-Limited Settings With Heuristic Rules. - Briti Gangopadhyay; Zhao Wang 009; Jia-Fong Yeh; Shingo Takamatsu (IEEE Trans. Artif. Intell., 2025)