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Updated in [September 06th, 2023]

What skills and knowledge will you acquire during this course? This Deep Reinforcement Learning Course will provide learners with the skills and knowledge to understand the fundamentals of reinforcement learning, develop algorithms for solving complex problems, and apply them to real-world scenarios. Learners will gain an understanding of the core concepts of reinforcement learning, such as Markov Decision Processes, Monte Carlo methods, and temporal difference learning. They will also learn how to use deep learning techniques to create agents that can learn from their environment and make decisions based on their observations. Additionally, learners will gain experience in training and evaluating agents, as well as developing strategies for solving complex problems. Finally, learners will be able to use their newfound skills to play with their Huggies and train LunarLander agents. How does this course contribute to professional growth? This Deep Reinforcement Learning Course provides an introduction to the fundamentals of reinforcement learning and provides an opportunity for professional growth. Through the course, participants will gain an understanding of the principles of reinforcement learning, as well as the ability to apply them to real-world problems. Additionally, the course will provide hands-on experience with the Huggy platform, allowing participants to develop and test their own reinforcement learning agents. By the end of the course, participants will have a better understanding of reinforcement learning and the ability to apply it to their own projects. Is this course suitable for preparing further education? This Deep Reinforcement Learning Course provides an introduction to the fundamentals of reinforcement learning and provides an opportunity to explore the concepts through practical examples. It is suitable for those looking to gain a deeper understanding of the field and prepare for further education in the area.