Discover Top Posts Tagged with #deep reinforcement learning

How researchers trained their “biped” using ‘deep reinforcement learning.’

#algopop #deep reinforcement learning #learning the hard way #hurling mesh cubes at algorithms #biped

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Adam: Robô Humanoide de Alta Performance para Desenvolvedores

Um novo marco na indústria da robótica humanoide foi estabelecido com a criação do Adam, um robô humanoide projetado especialmente para desenvolvedores. A empresa por trás do projeto, comprometida com a criação de um padrão universal no setor, tem se destacado por adotar conceitos de modulação, padronização, integração e estabilidade no desenvolvimento de seus produtos. Adam: Um Robô de Alta…

#Algoritmos de Aprendizado #Deep Reinforcement Learning #Desenvolvimento de Robôs #Humanoide #Nvidia Isaac Gym #Robô Humanoide Adam #robôs #SDK Open-Source

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥 - AI4Finance-LLC/FinRL-Library

FinRL is an open source library that provides practitioners a unified framework for pipeline strategy development. In reinforcement learning (or Deep RL), an agent learns by continuously interacting with an environment, in a trial-and-error manner, making sequential decisions under uncertainty and achieving a balance between exploration and exploitation. The open source community AI4Finance (to efficiently automate trading) provides educational resources about deep reinforcement learning (DRL) in quantitative finance.

Github Repository: https://github.com/AI4Finance-LLC/FinRL-Library

Video: https://www.youtube.com/watch?v=ZSGJjtM-5jA

Tutorial: http://finrl.org

#drl #ai #ai in fintech market #deep reinforcement learning #reinforcement learning #fintech #quantative finance

以下の記事が面白かったので、ざっくり翻訳してみました。・Reinforcement Learning Tips and Tricks 1. 要約このセクションの目的は、「強化学習」の実験を支援することです。強化学習に関する一般的なアドバイス（開始する場所、選択するアルゴリズム、アルゴリズムの評価方法など）、およびカスタム環境を使用する場合や強化学習アルゴリズムを実装する場合のヒントを紹介します。 2. 強化学習を使用する際の一般的なアドバイス (1) 強化学習および「Stable Baselines」について記事を読む (2) 必要に応じて、定量的な実験とハイパーパラメ

#Deep reinforcement learning

NatureのDQNのCNN層

NatureのDQN:ttps://www.nature.com/articles/nature14236

これのCNN層はこんな構成

Stable baselines の CnnPolicy と多分一緒．

https://elix-tech.github.io/ja/2016/06/29/dqn-ja.html

#dqn #machine learning #Deep learning #deep reinforcement learning #stable baselines #cnn

Machine Learning and Mobile Device Connectivity Optimization

You must have experienced this common universal experience, that your phone is hanging and not functioning at a critical time. For example, you are using your phone for navigation and at a critical moment like ‘which way to go’ your phone is hanging and showing no connection. In Europe companies like Deutsche Telekom are focused on eliminating such problems by machine learning network management…

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#deep reinforcement learning #google search console #mobilenet #optimize meaning #tensorflow mobile #what is deep learning

State-of-the-art in self-driving cars and autonomous vehicles: a list of videos from MIT

Lex Fridman’s MIT list of videos about self-driving cars was published since the beginning of this year. I was trying to get my schedule right in this blog to start posting on this list, and now the time has come. The videos follow and complement the page on the course from MIT MIT 6.S094: Deep Learning for Self-Driving Cars, which is essentially the same of last year’s and from the same author…

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#Autonomous vehicles #Computer Vision #Deep Learning #Deep Reinforcement Learning #MIT Deep Learning for Self-driving Cars #Self-driving Cars

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