Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Decision Making Under Uncertainty
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This lecture gives a high-level, intuition-focused introduction to sequential decision-making under uncertainty: it formalizes Markov decision processes (states, controls, constraints, additive costs), proves the prin...