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 Autonomous Driving
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Ithaca: Cornell University Library, arXiv.org
Journal title
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Deep Reinforcement Learning (DRL) has shown remarkable success in solving complex tasks across various research fields. However, transferring DRL agents to the real world is still challenging due to the significant discrepancies between simulation and reality. To address this issue, we propose a robust DRL framework that leverages platform-dependen...
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Full title
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
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TN_cdi_proquest_journals_2802662426
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2802662426
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2304.08235
