11/21/2023 0 Comments Monte carlo poker chips setReinforcement learning is an essential part of fields ranging from modern robotics to game-playing (e.g. It covers the essentials of reinforcement learning (RL) theory and how to apply it to real-world sequential decision problems. The course will cover model-free and model-based reinforcement learning methods, especially those based on temporal difference learning and policy gradient algorithms. Reinforcement learning problems involve learning what to do-how to map situations to actions-so as to maximize a numerical reward signal. Introduces the theory and practice of modern reinforcement learning. ![]() ![]() This course introduces the theory and practice of modern reinforcement learning.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |