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Explores the limitations and strengths of environmental impact studies, emphasizing the importance of comprehensive assessments and public participation.
Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.
Compares model-based and model-free reinforcement learning, highlighting the advantages of the former in adapting to reward changes and planning future actions.
