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Code for each week's short video of Siraj Raval Course on Reinforcement Learning "AI for Video Games"
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Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
README.md

README.md

Reinforcement_Learning_AI_Video_Games

Code for each week's short video of Siraj Raval Course on Reinforcement Learning "AI for Video Games"

Week 1 - Value iteration algorithm

Value iteration algorithm built for the Taxi-v1 environment by OpenAI Gym library.

Week 2 - Monte Carlo Prediction algorithm

Monte Carlo Prediction algorithm built for the Blackjack-v0 environment by OpenAI Gym library.

Week 3 - Q-Learning algorithm

Q-Learning algorithm built for the MountainCarContinuous-v0 environment by OpenAI Gym library.

Week 4 - Policy Gradients algorithm

Policy Gradients algorithm built for the Pong-v0 environment by OpenAI Gym library.

Week 5 - Actor-Critic model

Actor-Critic model built for the Pendulum-v0 environment by OpenAI Gym library.

Week 6 - Proximal Policy Optimization

Proximal Policy Optimization algorithm built for the Pendulum-v0 environment by OpenAI Gym library.

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