Briti Gangopadhyay

Orcid: 0000-0002-6488-9326

According to our database1, Briti Gangopadhyay authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Safe and Stable RL (S<sup>2</sup>RL) Driving Policies Using Control Barrier and Control Lyapunov Functions.
IEEE Trans. Intell. Veh., February, 2023

Counterexample-Guided Policy Refinement in Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hierarchical Program-Triggered Reinforcement Learning Agents for Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

PruVer: Verification Assisted Pruning for Deep Reinforcement Learning.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021
Semi-lexical languages: a formal basis for using domain knowledge to resolve ambiguities in deep-learning based computer vision.
Pattern Recognit. Lett., 2021

Counterexample Guided RL Policy Refinement Using Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Semi-Lexical Languages - A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision.
CoRR, 2020

Safety Augmentation in Decision Trees.
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

2019
Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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