Reinforcement learning

Cart Pole Stability through Reinforcement Learning

A DQN-based CartPole project exploring stability through reinforcement learning.

Category: Reinforcement learning
Role: Implemented and evaluated a reinforcement-learning approach for the CartPole environment.
Technologies: Reinforcement LearningDQNPython

CartPole environment visualization

Double Q-network architecture diagram

Reward plot for the CartPole reinforcement learning experiment

Summary

This project applied deep reinforcement learning concepts to the classic CartPole stability task and documented architecture and reward behavior.

Links