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1 Ergebnisse
1
A Reinforcement Learning-Boosted Motion Planning Framework:..:
, In:
2024 IEEE Intelligent Vehicles Symposium (IV)
,
Trauth, Rainer
;
Hobmeier, Alexander
;
Betz, Johannes
- p. 2413-2420 , 2024
Link:
https://doi.org/10.1109/IV55156.2024.10588750
RT T1
2024 IEEE Intelligent Vehicles Symposium (IV)
: T1
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
UL https://suche.suub.uni-bremen.de/peid=ieee-10588750&Exemplar=1&LAN=DE A1 Trauth, Rainer A1 Hobmeier, Alexander A1 Betz, Johannes YR 2024 SN 2642-7214 K1 Machine learning algorithms K1 Heuristic algorithms K1 Dynamics K1 Software algorithms K1 Reinforcement learning K1 Prediction algorithms K1 Stability analysis K1 Adaptive algorithms K1 Autonomous vehicles K1 Collision avoidance K1 Robot learning SP 2413 OP 2420 LK http://dx.doi.org/https://doi.org/10.1109/IV55156.2024.10588750 DO https://doi.org/10.1109/IV55156.2024.10588750 SF ELIB - SuUB Bremen
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