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stat.ML2022
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control
Maximilian Hüttenrauch, Gerhard Neumann
Most successful stochastic black-box optimizers, such as CMA-ES, use rankings of the individual samples to obtain a new search distribution. Yet, the use of rankings also introduce…
stat.ML2016
Policy Search with High-Dimensional Context Variables
Voot Tangkaratt, Herke van Hoof, Simone Parisi +3
Direct contextual policy search methods learn to improve policy parameters and simultaneously generalize these parameters to different context or task variables. However, learning…