Exploring deep reinforcement learning algorithms, particularly focusing on the implementation and testing of algorithms like Deep Q-Learning (DQN) and Dueling DQN.
Containing a custom-built Reinforcement Learning environment and implementations of key RL algorithms like Q-learning, SARSA, n-step Tree Backup, and Monte Carlo, tested in scenarios such as a drone navigation challenge and the Frozen Lake environment.