12 citations · 12 across the 2 of their papers we have counts for
3 papers
Improving Domain-Specific Retrieval by NLI Fine-Tuning
Roman Dušek, Aleksander Wawer, Christopher Galias +1
The aim of this article is to investigate the fine-tuning potential of natural language inference (NLI) data to improve information retrieval and ranking. We demonstrate this for b…
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving
Błażej Osiński, Piotr Miłoś, Adam Jakubowski +6
This work introduces interactive traffic scenarios in the CARLA simulator, which are based on real-world traffic. We concentrate on tactical tasks lasting several seconds, which ar…
Simulation-based reinforcement learning for real-world autonomous driving
Błażej Osiński, Adam Jakubowski, Piotr Miłoś +4
We use reinforcement learning in simulation to obtain a driving system controlling a full-size real-world vehicle. The driving policy takes RGB images from a single camera and thei…