Greedy policy: Revision history

18 March 2023

• curprev 21:5521:55, 18 March 2023‎ Walle talk contribs‎ 4,116 bytes +4,116‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning and reinforcement learning, a '''greedy policy''' is a decision-making strategy that selects the action with the highest immediate value or reward, without considering the long-term consequences or future states. This approach can be effective in specific scenarios, but may fail to achieve optimal solutions in complex environments. This article will discuss the concept of greedy policy,..."