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A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards au...

A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards au...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22c010f19fdf41c98c6d8094548de78e

A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving

About this item

Full title

A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Communications engineering, 2024-10, Vol.3 (1), p.147-14, Article 147

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Autonomous driving presents unique challenges, particularly in transferring agents trained in simulation to real-world environments due to the discrepancies between the two. To address this issue, here we propose a robust Deep Reinforcement Learning (DRL) framework that incorporates platform-dependent perception modules to extract task-relevant inf...

Alternative Titles

Full title

A platform-agnostic deep reinforcement learning framework for effective Sim2Real transfer towards autonomous driving

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_22c010f19fdf41c98c6d8094548de78e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_22c010f19fdf41c98c6d8094548de78e

Other Identifiers

ISSN

2731-3395

E-ISSN

2731-3395

DOI

10.1038/s44172-024-00292-3

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