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