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cs.LG2022
Traffic incident duration prediction via a deep learning framework for text description encoding
Artur Grigorev, Adriana-Simona Mihaita, Khaled Saleh +1
Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature of incident occurrence in space and time, a lack of information at the beginning of…
cs.LG2020
Refined Continuous Control of DDPG Actors via Parametrised Activation
Mohammed Hossny, Julie Iskander, Mohammed Attia +1
In this paper, we propose enhancing actor-critic reinforcement learning agents by parameterising the final actor layer which produces the actions in order to accommodate the behavi…