自主性人工智能规划
University of Melbourne
The key focus of this subject is the foundations of autonomous agents that reason about action, applying techniques such as automated planning, reinforcement learning, game theory, and their real-world applications. Autonomous agents are active entities that perceive their environment, reason, plan and execute appropriate actions to achieve their goals, in service of their users (the real world, human beings, or other agents). The subject focuses on the foundations that enable agents to reason autonomously about goals & rewards, perception, actions, strategy, and the knowledge of other agents during collaborative task execution, and the ethical impacts of agents with this ability. The programming language used in this subject is Python. No lectures or workshops on Python will be delivered.
📌 课程信息来源于 Melbourne University Handbook,选课建议为 AI 生成仅供参考。请以官方 Handbook 为准。
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