CSE546 Reinforcement Learning Assignment 1

Solomon Raj Panduga - spanduga@buffalo.edu

1. spanduga_assignment1_final.ipynb - Part 2 final submission notebook
2. spanduga_assignment1_checkpoint.ipynb - Part 1 checkpoint submission notebook
3. data_q_table_values.h5 - Trained Q-Table values
4. data_total_rewards_epsilon.h5 - Total reward and epsion decay values of training data
5. images - Folder with images used for visualization of the grid world

• Initial State

• When the agent is navigating

• When the agent collects the reward

• When the agent is at the goal state