ARI2204-Reinforcement-Learning

Assignment submission for ARI2204 Reinforcement Learning (University of Malta) 2021/2022

Consisted of implementing the game of Blackjack and an agent for it which uses the following algorithms; Monte Carlo, Q-Learning and SARSA in order to learn which in-game moves it should take to win the game.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
.ipynb_checkpoints		.ipynb_checkpoints
ARI2204-Reinforcement Learning Project.pdf		ARI2204-Reinforcement Learning Project.pdf
Monte_Carlo.ipynb		Monte_Carlo.ipynb
README.md		README.md
Reinforcement Learning - Monte_Carlo_20k.ipynb		Reinforcement Learning - Monte_Carlo_20k.ipynb
Reinforcement Learning - QLearning Implementation.ipynb		Reinforcement Learning - QLearning Implementation.ipynb
Reinforcement Learning - SARSA Implementation.ipynb		Reinforcement Learning - SARSA Implementation.ipynb

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.ipynb_checkpoints

.ipynb_checkpoints

ARI2204-Reinforcement Learning Project.pdf

ARI2204-Reinforcement Learning Project.pdf

Monte_Carlo.ipynb

Monte_Carlo.ipynb

README.md

README.md

Reinforcement Learning - Monte_Carlo_20k.ipynb

Reinforcement Learning - Monte_Carlo_20k.ipynb

Reinforcement Learning - QLearning Implementation.ipynb

Reinforcement Learning - QLearning Implementation.ipynb

Reinforcement Learning - SARSA Implementation.ipynb

Reinforcement Learning - SARSA Implementation.ipynb

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