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1 Ergebnisse
1
AlwaysSafe: Reinforcement Learning without Safety Constrain..:
, In:
Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems
,
Simão, Thiago D.
;
Jansen, Nils
;
Spaan, Matthijs T. J.
- p. 1226-1235 , 2021
Link:
https://dl.acm.org/doi/10.5555/3463952.3464094
RT T1 <cTitle>Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3464094&Exemplar=1&LAN=DE A1 Simão, Thiago D. A1 Jansen, Nils A1 Spaan, Matthijs T. J. PB International Foundation for Autonomous Agents and Multiagent Systems YR 2021 K1 CMDP K1 reinforcement learning K1 safe reinforcement learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Sequential decision making K1 Artificial intelligence K1 Planning and scheduling K1 Planning under uncertainty SP 1226 OP 1235 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3463952.3464094 DO https://dl.acm.org/doi/10.5555/3463952.3464094 SF ELIB - SuUB Bremen
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