Computer Science - Artificial Intelligence - Reinforcement learning - Reinforcement Learning

4 steps. Step 1 'The RL Framework': Agent: the learner/decision-maker. Environment: the world the agent interacts with. State: current situation. Action: what the agent can do. Reward: feedback signal (positive or negative). Goal: maximize total reward over time. Like training a dog: good behavior →