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Ninjatrader reinforcement learning optimization project

$30-250 USD

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Pubblicato più di 4 anni fa

$30-250 USD

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I am working on a simple project on ninjatrader. I created a reinforcement learning algorithm and want to use the Ninjatrader optimizer to train it. I already have all the classes created( agent, memory, brain, trainer, and optimizer classes), but need some debugging. The algorithm saves a copy of my trainer(with agent and all parameters) after each epoch, but crashes when its time to reload the trainer class. The issue is that for each epoch, the strategy is re-started. Because of this, I need to momentarily serialize my agent, and the settings, while the strategy resets to its initial state. If I don’t serialize it, the agent starts training from scratch again, which I want to avoid). The agent is a deep network from a 3rd party library.
Rif. progetto: 20019531

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12 proposte
Progetto a distanza
Attivo 5 anni fa

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12 freelance hanno fatto un'offerta media di $205 USD
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I am a Dedicated Senior .Net Developer/ Database Administrator and System Administrator with 20 years of experience in Web/ Windows and Android Developments, Administration, Project Management System analysis, and Database Developments. Delivering quality solutions to business problems within scope, budget and tight schedules whilst meeting strict specifications, from project planning, estimating to delivery. Please See my profile and the Reviews I would like to discuss the project in details with you for a better understanding of the requirements. SKILLS AND ABILITIES • Web | Windows Developments | API | Web Services| Automation | WPF • Payment Gateway Integration | Rest API • Device / Hardware Integration | Machine Software / VOIP • Android Developments • .NET | C# | Vb.Net | ASP.Net | VBA | MACROS • SQL Server | MY SQL | EXCEL | MS ACCESS | PostgreSQL |Sybase • MVC| | Web Forms | Win Forms| Java scripts | JQuery | Json | Ajax • HTML | PHP | CSS | Bootstrap |Graphic Design • IIS | Windows Server | DNS | Server Security | Active Directory • Crystal Reports | iText Sharp | EPPlus | Smart XLS • XML | XLT | CSV APPLICATION DEVELOPMENTS • Web Applications / Windows Applications • E-POS System • iMail API integration
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Hi, the default behaviour is to re-instantiate the strategy for each optimisation back test run. By re-using the strategy, you could disable resetting and also save time and computer resources. Care should be taken as custom resources may carry their state over from the previous iteration into a new back test run.
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Bandiera: UNITED STATES
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