What is the main role of machine learning in reinforcement learning?
Hi @IamPrince_23,
Welcome to Google Cloud Community!
Machine learning plays a crucial role in reinforcement learning by providing the algorithms that power an agent's learning process. These algorithms enable the agent to estimate the value of different actions and states, develop optimal policies for choosing actions, generalize from past experiences to new situations, and adapt to changing environments. Through these mechanisms, machine learning allows the agent to learn through trial and error, improving its performance over time by maximizing cumulative rewards received from its interactions with the environment.
Here are some helpful references that might help you understand more about reinforcement learning:
Was this helpful? If so, please accept this answer as “Solution”. If you need additional assistance, reply here within 2 business days and I’ll be happy to help.