Pendulum Data-Driven Control
Placeholder: Data-driven control system for inverted pendulum using reinforcement learning.
In Progress
Problem & Context
Control systems for physical systems like the inverted pendulum often benefit from data-driven and learning-based approaches. The goal of this project is to design a data-driven control system using reinforcement learning to stabilize the pendulum, combining control theory with modern ML techniques. This is a team project currently in progress.
What We’re Building
- Data-driven or reinforcement-learning-based controller for inverted pendulum dynamics
- Integration of simulation and/or real hardware with the learning pipeline
- Evaluation of stability and performance under the learned policy
Tech Stack
Key Takeaways
This project is in active development. Outcomes and visual results will be added as the work progresses.