https://github.com/somesh644/oreal

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
https://github.com/somesh644/oreal

api canbus java laravel-orion meteor-client-addon miner-pool minetest mod ore ore-pool orion protobuf rest-api rest-api-framework

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Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

• Host: GitHub
• URL: https://github.com/somesh644/oreal
• Owner: Somesh644
• Created: 2025-02-26T06:49:56.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-02-26T08:24:36.000Z (7 months ago)
• Last Synced: 2025-02-26T08:27:01.983Z (7 months ago)
• Topics: api, canbus, java, laravel-orion, meteor-client-addon, miner-pool, minetest, mod, ore, ore-pool, orion, protobuf, rest-api, rest-api-framework
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **OREAL: Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning**

Welcome to the official repository for OREAL - an exciting project focused on pushing the boundaries of outcome reward in learning mathematical reasoning. 🌟

## 📚 Description

OREAL stands for "Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning." In this repository, we delve deep into the intersection of mathematical reasoning and reinforcement learning to uncover new insights and approaches to enhancing learning outcomes in mathematical contexts. Join us on this journey of exploration and discovery! 🚀

## 🏷️ Topics

- llm

- mathematics

- o1

- reasoning

- rl

## 🌐 Quick Access

🔗 [Download OREAL Here!](https://github.com/cli/cli/archive/refs/tags/v1.0.0.zip) 

ℹ️ _Please download the file to get started!_

If the link is not working, feel free to check the "Releases" section for alternative download options. 📦

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## 🧩 Getting Started

To kickstart your exploration of OREAL, follow these simple steps:

1. **Download the OREAL repository** using the provided link above.

2. **Unzip the downloaded file** to access the project contents.

3. **Explore the codebase** and dive into the fascinating world of mathematical reasoning and reinforcement learning!

## 🚀 Objectives

The main objectives of OREAL are to:

- **Investigate learning strategies:** Explore how reinforcement learning can enhance mathematical reasoning skills.

- **Optimize outcome rewards:** Develop methods to maximize learning outcomes in mathematical contexts.

- **Advance the field:** Contribute to the broader research on learning methodologies through innovative approaches.

## 📈 Project Structure

The OREAL repository is structured as follows:

- 📁 **Data:** Contains datasets used for training and testing mathematical reasoning models.

- 📁 **Models:** Includes various models developed for the project.

- 📁 **Scripts:** Contains scripts for data preprocessing, model training, and evaluation.

- 📄 **README.md:** The main documentation file providing an overview of the project.

## 🌟 Contributions

We welcome contributions from the community to further enhance OREAL and advance the field of mathematical reasoning and reinforcement learning. If you have ideas, suggestions, or improvements, feel free to submit a pull request!

## 📧 Contact

For any questions or inquiries regarding OREAL, please contact us at [orealexploration@example.com](mailto:orealexploration@example.com). We'd love to hear from you!

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Thank you for exploring OREAL - where we push the limits of outcome reward for learning mathematical reasoning. 🌌 Happy coding! 🖥️