Reinforcement learning 7313ݺߣshareThis document discusses reinforcement learning. It defines reinforcement learning as a learning method where an agent learns how to behave via interactions with an environment. The agent receives rewards or penalties based on its actions but is not told which actions are correct. Several reinforcement learning concepts and algorithms are covered, including model-based vs model-free approaches, passive vs active learning, temporal difference learning, adaptive dynamic programming, and exploration-exploitation tradeoffs. Generalization methods like function approximation and genetic algorithms are also briefly mentioned.
ใบงาน1.3ม.3ment1823The document is a worksheet asking students to create a group system using computers. It lists the names and student numbers of 5 students. The instructions tell the students to build a work system using computers to complete the task. No other details are provided in the document about the specific task or system to be created.
ใบงาน1.3ม.3ment1823The document is a worksheet asking students to create a group system using computers. It lists the names and student numbers of 5 students. The instructions tell the students to build a work system using computers to complete the task. No other details are provided in the document about the specific task or system to be created.
แผȨารซอฟแวร์ment1823Adding more information (description, tags, category) makes it easier for others to find your content. The score increases as you add each item.