Enroll Course: https://www.udemy.com/course/ittensive-python-reinforcement-learning/
The course ‘Машинное обучение с подкреплением на Python’ offered on Udemy by ITtensive is an excellent choice for those looking to deepen their understanding of reinforcement learning through practical implementation. This course is part of the final segment of ITtensive’s Machine Learning program and covers three fascinating projects that demonstrate core reinforcement learning techniques.
Firstly, the course guides you through creating an AI agent to play tic-tac-toe on a 3×3 board, implementing strategies such as Bellman equations, Q-learning, and exploration-exploitation principles. You’ll learn how to program the environment, define winning conditions, and develop agents that can draw or win games, culminating in building a winning agent.
Next, you’ll delve into balancing a cartpole in a physical environment, utilizing the AI Gym toolkit. Here, you’ll explore neural network principles, specifically Deep Q-Networks (DQN), to train an agent that can keep the pole balanced. The course emphasizes neural network optimization, state distribution analysis, and memory management.
Finally, the course covers playing blackjack using AI Gym, focusing on Monte Carlo methods, policy strategies, and visualizing the optimal policies. This project enhances understanding of decision-making under uncertainty.
The theoretical content is robust, covering Markov processes, Bellman equations, Monte Carlo methods, Q-learning, epsilon-greedy strategies, UCB and Thompson sampling, and the creation of DQNs. The practical projects are well-structured and provide hands-on experience, making complex concepts approachable.
I highly recommend this course for intermediate learners with some background in Python and machine learning. It bridges theory and practice effectively, preparing you to implement reinforcement learning algorithms in real-world scenarios. To access the course, contact support@ittensive.com with your course or bundle preferences.
Overall, a highly valuable resource for aspiring AI developers eager to master reinforcement learning techniques.
Enroll Course: https://www.udemy.com/course/ittensive-python-reinforcement-learning/