Welcome to my GitHub profile! I'm a Computer Science researcher, developer, and lifelong learner passionate about Artificial Intelligence, Reinforcement Learning, and Multi-Agent Systems. My work often involves exploring how agents can collaborate and make decisions under uncertainty, leveraging cutting-edge techniques in AI and machine learning.
Hi! I’m Braxton Geary, a Computer Science researcher passionate about advancing **Artificial Intelligence** and **Reinforcement Learning**. My work focuses on creating intelligent systems that make decisions under uncertainty, with applications in robotics, multi-agent systems, and energy-efficient transportation.
I’m currently completing my MS in Computer Science at Utah State University and applying to PhD programs, where I hope to deepen my research in decision-making algorithms and multi-agent collaboration. I’m always eager to collaborate on innovative projects that push the boundaries of AI and its real-world impact.
I’ve collaborated on impactful projects across diverse domains. Here are some highlights:
1. DelayRL-PCSE
- Developed a reinforcement learning framework to model decision-making under delayed feedback in farming scenarios. This project explores how farmers can share information to optimize resource use.
- Contributed to research on large language models (LLMs) for robotic instruction, helping bridge the gap between human intent and machine actions.
- Part of a team building control systems and applications for Boston Dynamics Spot, focusing on practical robotics applications.
- **PhD Research**: Advancing the field of **multi-agent reinforcement learning**, with a focus on collaboration, decision-making under uncertainty, and scalability in complex environments. - **AI for Real-World Impact**: Exploring applications of reinforcement learning and AI in robotics, intelligent transportation, and energy systems to solve pressing challenges. - **Open Source Contributions**: Engaging with the AI and ML communities through contributions to open-source projects and research tools.
- Programming Languages
- Python
- TypeScript
- JavaScript
- Java
- C++
- Frameworks
- React
- Django
- Flask
- Selenium
- Libraries
- PyTorch
- Tensorflow
- Scikit-learn
- NumPy
- pandas
- SciPy
- OpenAI Gym
- Google DeepMind Control
- Stable Baselines3
- Matplotlib
- Plotly
- NLTK
- Tools & Platforms
- GitHub/GitLab
- Docker/Docker-Compose
- Jupyter Notebooks
- Overleaf
- Cloud & Infrastructure
- AWS
- Nginx
- Traefik
- Databases
- PostgreSQL
- SQLite
- MySQL
- MongoDB
- Other
- GraphQL
- REST
I’m always looking to collaborate with like-minded researchers and developers. Feel free to reach out if you’re interested in: - Reinforcement learning - Multi-agent systems - AI applications in robotics and transportation
Here’s where you can find me:
- LinkedIn: linkedin.com/in/braxton-geary
- Personal Website: Coming Soon 🚀
Thanks for stopping by!