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9min chapter
Autonomous Driving, Causality & Long Tails || Daniel Ebenhöch || Causal Bandits Ep. 004 (2023)
Causal Bandits Podcast
Causal Models and Counterfactual Reasoning
This chapter explores the efficiency of causal models in parameter space descriptions, particularly their role in autonomous driving. It discusses the significance of counterfactual reasoning and abduction in understanding causality, while highlighting the challenges in developing comprehensive causal structures. The speakers also emphasize the importance of asking the right questions to enhance data collection and improve causal inference outcomes.
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