Can I read Q-Learning for Grid Navigation Optimization on EtoBox?
Q-Learning for Grid Navigation Optimization by Daniyal Safdar is a document available to read on EtoBox.
What is Q-Learning for Grid Navigation Optimization about?
This research explores a Q-learning enhancement with Upper Confidence Bound (UCB) for optimizing path navigation in a 5×5 grid-world environment populated with static obstacles. The study demonstrates that UCB improves exploration efficiency and policy convergence compared to traditional epsilon-greedy methods, enabling agents to make smarter navigation decisions while minimizing penalties. Future work aims to expand the simulation to include dynamic obstacles and collaborative navigation systems to further
- Author
- Daniyal Safdar
- Language
- EN