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## 一言でいうと
内発的報酬のみでどこまでプレイできるかを検証した研究。内発的報酬は行動による状態変化に対して与えられており、本研究では「状態」の表現方法についてピクセル/固定CNN/VAE/IDFの4つを使用している。タスクが進むか、どれが有効かはかなりタスクに依存している。
### 論文リンク
https://pathak22.github.io/large-scale-c…
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https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf
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https://academic.oup.com/nsr/advance-article/doi/10.1093/nsr/nwx018/3052720
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https://pdfs.semanticscholar.org/0571/3da3bd396fef9611761fab4d88a21671ca43.pdf
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https://arxiv.org/abs/1908.10192
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### Feature Description
Hi there,
I recently wrote an article discussing how to combine MapReduce with small-scale LLMs (Large Language Models) for large-scale text processing tasks. In the articl…
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# Background
Dlrover is an elastic deep learning framework, with fault-tolerance of processes failure, POD losting etc. Since the LLM training is at large scale and always span for a long time, many …
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https://whatasmallship.github.io/2024/06/17/Principles-of-Large-Scale-hhMachine-Learning-Lecture-4/
Lecture 4 Learning with Gradient Descent 回顾：经验风险最小化与梯度下降 为每个预测器分配一个ddd维的参数向量，也即每一个ddd维参数向量对应一个预测…
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To validate and measure the effectiveness of recent improvements in the learning process, a comprehensive large-scale simulation run is necessary. This will help ensure that the enhancements not only …
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**Feature Request: LangGraph Integration for Adaptive Agent Workflows in PufferLib**
**Objective**: Expand PufferLib’s capabilities by integrating LangChain, TRL (Transformers Reinforcement Learnin…