While we strive to present as many use cases as possible, the scripts in ourexamples folderare just that: examples. It is expected that they won't work out-of-the-box on your specific problem and that you will be required to change a few lines of code to adapt them to your needs. ...
Transformers are Meta-Reinforcement Learners[Paper]June 2022 Luckeciano C. Melo Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft[Paper]Aug 2022 Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar ...
There has been a wide variety of work looking at improving memory in reinforcement learning agents. External memory approaches typically have a regular feedforward or recurrent policy interact with a memory database through read and write operations. Priors are induced through the design of the speci...
Hierarchical Transformers are Efficient Meta-Reinforcement Learners We introduce Hierarchical Transformers for Meta-Reinforcement Learning (HTrMRL), a powerful online meta-reinforcement learning approach. HTrMRL aims to add... G Shala,A Biedenkapp,J Grabocka 被引量: 0发表: 2024年 CONDITION ASSESSMENT...
Chen, “Vision transformers are robust learners,” arXiv, 2021. [100] M. Raghu, T. Unterthiner, S. Kornblith, C. Zhang, and A. Dosovitskiy, “Do vision transformers see like convolutional neural networks?” NeurIPS, 2021. [101] S. Cao, P. Xu, and D. A. Clifton, “How to ...
ViTMAE(来自 Meta AI) 伴随论文Masked Autoencoders Are Scalable Vision Learners由 Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick 发布。 ViTMSN(来自 Meta AI) 伴随论文Masked Siamese Networks for Label-Efficient Learningby Mahmoud Assran, Mathilde Caron, Ishan Misra...
The computed weights are combined with the base learners for the final prediction. $$\begin{aligned} \hat{y}_{ens} = \sum \limits _{i=1}^{|M|} w_iM_i(X,y) \end{aligned}$$ (7) The stacking meta-learning method has been shown to perform well in many ensemble models (Ganaie...
Metamath: Bootstrap your own mathematical questions for large language models. arXiv preprint arXiv:2309.12284. Zhang, F., Xing, W., & Li, C. (2023, March). Predicting Students’ Algebra I Performance using Reinforcement Learning with Multi-Group Fairness. In LAK23: 13th International ...
ViTMAE (来自 Meta AI) 伴随论文 Masked Autoencoders Are Scalable Vision Learners 由Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick 发布。 ViTMatte (来自 HUST-VL) 伴随论文 ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers 由Jingfeng Yao, ...
Transformers.js is designed to be functionally equivalent to Hugging Face'stransformerspython library, meaning you can run the same pretrained models using a very similar API. These models support common tasks in different modalities, such as: ...