Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
defines the agent’s behaviour by mapping perceived environmental states to actions. It serves as the core of the reinforcement learning system, determining the agent’s actions at any given time. Policies may be stochastic, incorporating probabilities for each action. 2. Reward Signal: The reward