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WebRational agents or Problem-solving agents in AI mostly used these search strategies or algorithms to solve a specific problem and provide the best result. Problem-solving … WebApr 27, 2024 · The Reinforcement Learning problem involves an agent exploring an unknown environment to achieve a goal. RL is based on the hypothesis that all goals can be described by the maximization of expected cumulative reward. The agent must learn to sense and perturb the state of the environment using its actions to derive maximal reward. WebTo solve this problem, an agent would start at the initial state and explore the state space by following links until it arrived in a goal state. A solution to the water jug problem is a path from the initial state to a goal state. Example solutions $[f1, f2, e2, t12]$ $[f1, e1, f2, t21, t12, f1, e2, t12]$ $[f2, t21]$ me1 romance ashley