most citedInvariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

36 citations · 51 across the 3 of their papers we have counts for

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cs.RO2020★ 12 cited

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…

cs.RO2019★ 36 cited

Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

Yijiong Lin, Jiancong Huang, Matthieu Zimmer +3

Deep Reinforcement Learning (RL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. To a…