This repository contains most of my projects submissions and exercises answers for the Deep Reinforcement Learning Nanodegree Program.
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temporal_difference/contains implementations of the SARSA, SARSAMAX and Expected-SARSA algorithm to solve Sutton's cliff-walking environment. -
taxi/solves the 'Taxi-v3' environment. The agent obtains a best average reward of 8.83, putting it 6th on the leaderboard. -
lunar_lander/solves the 'LunarLander-v2' environment in 600 episodes (6th on the leaderboard). -
navigation/is my submission for the Banana Unity ML environment (modified version by Udacity). The agent solves the game in ~450 episodes.