Temporal Transfer Learning selects source tasks for zero-shot transfer of RL policies to solve a range of coarse-grained advisory autonomy hold durations in traffic optimization more reliably than baselines.
Available: https://elib.dlr.de/124092/
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Presents a new ns-3-based open-source simulator for C-V2X Mode 4 and reports that it meets LTE Rel. 14 V2X requirements for up to 250 vehicles in a 100m x 100m worst-case area, with better results in a Manhattan grid.
citing papers explorer
No citing papers match the current filters.