Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Decision-making for urban autonomous driving is challenging due to the stochastic nature of
interactive traffic participants and the complexity of road structures. Although reinforcement …
interactive traffic participants and the complexity of road structures. Although reinforcement …
Distributed adaptive cooperative control for human-in-the-Loop heterogeneous UAV-UGV systems with prescribed performance
H Liang, S Yang, T Li, H Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper focuses on the distributed adaptive cooperative control problem for human-in-the-
loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) …
loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) …
UnstrPrompt: Large language model prompt for driving in unstructured scenarios
The integration of language descriptions or prompts with Large Language Models (LLMs)
into visual tasks is currently a focal point in the advancement of autonomous driving. This …
into visual tasks is currently a focal point in the advancement of autonomous driving. This …