English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Machine learning can provide efficient solutions to the complex problemsencountered in autonomous driving, but ensuring their safety remains achallenge. A number of authors have attempted to address this issue, but thereare few publicly-available tools to adequately explore the trade-offs betweenfunctionality, scalability, and safety.  We thus present WiseMove, a software framework to investigate safe deepreinforcement learning in the context of motion planning for autonomousdriving. WiseMove adopts a modular learning architecture that suits our currentresearch questions and can be adapted to new technologies and new questions. Wepresent the details of WiseMove, demonstrate its use on a common trafficscenario, and describe how we use it in our ongoing safe learning research.

WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving