Roberta Răileanu
3 papers in the PaperMetrix corpus
Papers by this author
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Automatic Data Augmentation for Generalization in Reinforcement Learning
2021 · arXiv (Cornell University)
Deep reinforcement learning (RL) agents often fail to generalize beyond their training environments. To alleviate this problem, recent work has proposed the use of data augmentation. However, different tasks tend to benefit from different types …
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Building a Subspace of Policies for Scalable Continual Learning
2022 · arXiv (Cornell University)
The ability to continuously acquire new knowledge and skills is crucial for autonomous agents. Existing methods are typically based on either fixed-size models that struggle to learn a large number of diverse behaviors, or growing-size …
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Hyperparameters in Reinforcement Learning and How To Tune Them
2023 · arXiv (Cornell University)
In order to improve reproducibility, deep reinforcement learning (RL) has been adopting better scientific practices such as standardized evaluation metrics and reporting. However, the process of hyperparameter optimization still varies widely across papers, which makes …