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Approximate Dynamic Programming with Parallel Stochastic Planning Operators

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Figure

Figure 2.1: An agent and its environment. The agent produces actions in response to sensory input
Figure 2.2: Embodied agents. The agent is a separate decision making entity whose contact
Figure 2.3: States transition diagram for a coin flipping agent. States are represented by
Table 2-1: A tabular world model built by labelling states using empirical evidence
+7

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