A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example. - Shun-Ryu/Meta-Weight-Net_Code-Optimization
The new code on github (https://github.com/ShiYunyi/Meta-Weight-Net_Code-Optimization) has implemented the MW-Net based on the newest pytorch and torchvision version. It rewrites an optimizer to assign non leaf node tensors to model parameters. Thus it does not need to rewrite the nn.Modu...
Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct policy optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outs...
分析:该论文研究了使用集成方法来缓解奖励模型的过度优化问题,通过worst-case optimization (WCO)和uncertainty-weighted optimization (UWO)方法在两种优化方法(最优采样和邻域策略优化)下进行实验,发现集成方法可以有效地消除过度优化,并提高性能。 地址:https://arxiv.org/pdf/2310.02743 6. Kosmos-G:在多模态大语言...
ZeroWeightOptimization 類型: Edm.Boolean AllRuleCalcStargateOptimization 類型: Edm.Boolean UseStargateForRules 類型: Edm.Boolean StartupSettings 新增: 11.0.0 表146. StartupSettings 內容 名稱詳細資料 PersistentFeeders 類型: Edm.Boolean MaximumCubeLoadThreads 類型: Edm.Int32 LoadPrivateSubsetsOn啟...
Optimization as a model for few-shot learning. 5th Int. Conf. Learn. Represent. https://openreview.net/pdf?id=rJY0-Kcll (2017). Andrychowicz, M. et al. Learning to learn by gradient descent by gradient descent. In Adv. Neural Inf. Process. Syst. 29 (NIPS 2016). Finn, C., ...
Hardware and Optimization: All the experiments in this study were conducted on a MacBook M3 Max with 128GB of unified memory. Transformer-Based Models: Due to their architectural complexity, transformer-based models necessitated about 20 min per epoch for training. Despite the longer duration, the...
Playstyle Optimization: –There are many ways to optimize your playstyle based on how you want to play and what your strengths are as a player. –Your playstyle should be optimized in order to create a successful team comp. –There are two types of playstyles: aggressive and passive. If...
The BERT encoder is a lightweight version based on BERT proposed in the Hugging Face code repository, used as a text encoder. When using BERT as the encoder, we selected a model pretrained with specific strategies as the pretrained model. We strictly limited the number of BERT’s output laye...
code:https://github.com/deng-ai-lab/TEMPO openreview:https://openreview.net/forum?id=IN3hQx1BrC 7 7 7 5 webpage: Contributions Dreamer系列里,model(RSSM)的学习和policy的学习是分开的,作者引入一个meta-weighter,使得model learning过程也考虑到对值函数的影响。