arXiv Machine Learning
Jul 30
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
arXiv:2607. 26680v1 Announce Type: new Abstract: Reinforcement learning (RL) has shown remarkable success across a wide range of complex tasks.
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
Reinforcement learning (RL) has shown remarkable success across a wide range of complex tasks. However, RL outcomes can be highly stochastic, and both expected performance and variability often depend on hyperparameter (HP) configurations.
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