BrouthenKamel/gdg-reinforcement-learning-workshop

Reinforcement Learning Workshop within Google Developers Groups (GDG) Algiers AI Bootcamp # Context The workshop has been delievered within Google Developers Groups (GDG ALgiers) AI Bootcamp by me, the development core team AI responsible # Content The workshop introduced Reinforcement Learning, the intuition behind it, the RL framework (Environment, Agent, State, Action, Reward), and different methods of solving RL problems: Value Based Methods (Q-Learning and Deep-Q-Learning) and Policy Based Methods (Policy Gradient) # Application - Applying Q-Learning on **Mouse & Cheese** and **Maze** environments, Github - Applying Deep-Q-Learning or Deep-Q-Network (DQN) on **Lunar Lander** environment, Github - Applying Policy Gradient method on **Cart Pole** environment, Github # Additional Resources - DeepMind x UCL | Deep Learning Lecture Series 2021, Youtube - Reinforcement Learning: An Introduction, Book - Hugging Face Deep Reinforcement Learning Course, Course - Reinforcement Learning Specialization, Coursera - Foundations of Deep Reinforcement Learning: Theory and Practice in Python, Book