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Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration
AutoML Freiburg Hannover Tübingen
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Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework
AutoML Freiburg Hannover Tübingen
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DACBench: Benchmarking Dynamic Algorithm Configuration | IJCAI 2021
AutoML Freiburg Hannover Tübingen
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1:27:25
AutoML Fall School 2022 - Dynamic Selection and Configuration of Algorithms by Carola Doerr
AutoML Freiburg Hannover Tübingen
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17:39
Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming
Steve Brunton
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View & Download![GECCO2021 - pos242 - GECH - Leveraging Benchmarking Data for Informed One-Shot Dynamic [...] — Association for Computing Machinery (ACM) — theory inspired parameter control benchmarks for dynamic algorithm configuration YouTube to MP3 & MP4 download on TubeGalore](/api/image/b-9QqVvueWc/mqdefault)
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GECCO2021 - pos242 - GECH - Leveraging Benchmarking Data for Informed One-Shot Dynamic [...]
Association for Computing Machinery (ACM)
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50:38
Getting the most out of your planner(s): from static to dynamic algorithm configuration
AutoML Freiburg Hannover Tübingen
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