3 citations · 6 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
Shiro Takagi
We empirically investigate how pre-training on data of different modalities, such as language and vision, affects fine-tuning of Transformer-based models to Mujoco offline reinforc…
cs.LG2022★ 3 cited
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi +5
Modern deep learning systems do not generalize well when the test data distribution is slightly different to the training data distribution. While much promising work has been acco…