Global ETD Search
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Showing 1 to 2 of 2 for “"Discounted-sum"”.
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Observational learning with finite memory
… In contrast to the literature that typically assumes myopic agents who choose the action that maximizes the probability of making the correct decision (the decision that identifies correctly the underlying state), in our model we assume that agents are forward looking, maximizing the discounted …
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Automata-Based Quantitative Verification
… costs and rewards, quality measures, resource consumption, distance metrics, and the like. So far, several applications of quantitative analysis have been identified, including formal guarantees for reinforcement learning, planning under resource constraints, and verification of (multi-agent) …