Reinforcement Learning, Artificial Intelligence, Deep Learning.
receives. The agent starts with an initial policy and then repeatedly interacts with the environment, updating its policy based on the rewards it receives. This process continues until the agent’s policy converges to an optimal solution. While Monte Carlo methods are powerful, they have several