Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey

no code implementations • 8 Apr 2024 • Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla

Finally, we highlight the limitations of the existing work and propose promising research directions that explore adversarial and OOD inputs within a unified framework.

Adversarial Robustness Anomaly Detection +1

Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning

no code implementations • 6 Apr 2021 • Haritha Jayasinghe, Tarindu Jayatilaka, Ravin Gunawardena, Uthayasanker Thayasivam

Thus, a need arises for a simulated environment where they can predict users' reactions to changes in the platform-specific parameters such as trip fares and incentives.

Imitation Learning reinforcement-learning +1