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Awesome GitHub RepositoriesMarket-Based Reward Optimization

Techniques for refining model accuracy using actual market outcomes as reward signals for reinforcement learning.

Distinct from Model Performance Optimization: Focuses on using real-world financial price movements as the reward signal instead of general performance metrics or human ratings

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Market-Based Reward Optimization. Refine with filters or upvote what's useful.

Awesome Market-Based Reward Optimization GitHub Repositories

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  • ai4finance-foundation/fingptAI4Finance-Foundation 的头像

    AI4Finance-Foundation/FinGPT

    20,507在 GitHub 上查看↗

    FinGPT is a suite of specialized financial tools and a framework for adapting large language models to the financial domain. It provides a set of pipelines for financial entity extraction, sentiment analysis, and retrieval-augmented generation to improve the accuracy of financial information systems. The project distinguishes itself through efficient training workflows, utilizing low-rank adaptation and quantized low-rank adaptation to fine-tune models on consumer-grade hardware. It employs market-labeled datasets and reinforcement learning that uses actual stock price movements as reward sig

    Optimizes model performance by applying reinforcement learning based on actual stock price movements instead of human ratings.

    Jupyter Notebookchatgptfinancefingpt
    在 GitHub 上查看↗20,507
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  6. Market-Based Reward Optimization