most citedLearning Symbolic Rules for Interpretable Deep Reinforcement Learning

8 citations · 16 across the 4 of their papers we have counts for

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cs.RO2020

Hyperparameter Auto-tuning in Self-Supervised Robotic Learning

Jiancong Huang, Juan Rojas, Matthieu Zimmer +3

Policy optimization in reinforcement learning requires the selection of numerous hyperparameters across different environments. Fixing them incorrectly may negatively impact optimi…