Reinforcement Learning for Stock Selection


I'm looking for an experienced RL engineer who has expertise in designing and developing a complex RL framework.

You will be responsible to design and develop -

1. Agent based rules of the trade

2. Setup of the trading environment

3. Analysing the reward and penalties

Testing and optimising for a through result.

We will work on google colab.

Квалификация: Deep Learning, Искусственный интеллект, Python, Tensorflow, Pytorch

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О работодателе:
( 38 отзыв(-а, -ов) ) Mumbai, India

ID проекта: #20962965

5 фрилансеров(-а) в среднем готовы выполнить эту работу за ₹9400


Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Reinforcement Learning Programming. I'm really confident about your project, and very eager to join your project. If w Больше

₹10000 INR за 7 дней(-я)
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Hello, Greetings of the day.!! I have a preferred freelancer badge. Which means I am in top 3% of AI ML freelancer. I have successfully delivered more than 80 AI/ML projects(R and Python) in last 9 Months with best Больше

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Greetings! My name is Daniel, I am a software developer from Germany, specialized in Machine Learning applications. I have an already finished project just like yours, where I've utilized Deep Q-learning to develop a h Больше

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Hello, I’d like to be considered for this project. I’m a machine learning engineer with a strong background developing reinforcement learning and deep learning models. For 7+ years I’ve worked in machine learning/dat Больше

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Hi! I propose we start with a GAN-RNN combo to get a better sense of stock market selection/predictions (time-series) and combine with an RL agent to update the hyperparameters on its own for the trading part. We cou Больше

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