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Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving
Reinforcement Learning (RL) has the potential to surpass human performance in driving without needing any expert supervision.
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms
This work consolidates the FL landscape and offers an objective analysis of the major FL algorithms through a comprehensive cross-evaluation for a wide range of operating conditions.
State-of-the-art Techniques in Deep Edge Intelligence
However, the centralization of computational resources and the need for data aggregation have long been limiting factors in the democratization of Deep Learning applications.
Flow From Motion: A Deep Learning Approach
We trained multiple models using the wearables data and the coach labels.
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