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Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Trustworthy safety improvement for autonomous driving using reinforcement learning
Learning and managing stochastic network traffic dynamics with an aggregate traffic representation
University based interdisciplinary space lab: Designing for astronaut health and wellbeing
Recurrent and convolutional neural networks for deep terrain classification by autonomous robots
An effective spatial-temporal attention based neural network for traffic flow prediction
Path planning for asteroid hopping rovers with pre-trained deep reinforcement learning architectures
Deep learning-based spacecraft relative navigation methods: A survey