Certificate in AI Planning: Strategic Approaches
-- ViewingNowThe Certificate in AI Planning: Strategic Approaches is a comprehensive course designed to empower learners with essential skills in AI planning. This certification focuses on strategic approaches, enabling professionals to apply AI planning techniques to various industries, including gaming, robotics, and logistics.
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⢠Unit 1: Introduction to AI Planning · Overview of AI planning techniques, history, and applications.
⢠Unit 2: Problem Formulation · Defining problems using Planning Domain Definition Language (PDDL).
⢠Unit 3: Classical Planning Algorithms · Coverage of Graphplan, SAT-based planning, and heuristic search methods.
⢠Unit 4: Planning & Scheduling Integration · Combining planning and scheduling techniques for real-world applications.
⢠Unit 5: Temporal & Resource Constrained Planning · Incorporating temporal and resource constraints in AI planning.
⢠Unit 6: Planning in Uncertain Domains · Overview of planning in uncertain and stochastic environments.
⢠Unit 7: Hierarchical Task Networks (HTN) · Introducing hierarchical task networks and their applications.
⢠Unit 8: AI Planning Evaluation · Metrics, benchmarks, and evaluation techniques for AI planning systems.
⢠Unit 9: AI Planning Applications · Real-world use cases, including robotics, logistics, and autonomous systems.
⢠Unit 10: AI Planning Software · Overview of popular AI planning software and tools, such as Fast Downward and POPF.
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