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In this work we consider an agent trying to maximize a submodular reward function while moving in a graph environment. Such reward functions can be used to capture a variety of crucial sensing objectives in robotics including, but not limited to, mutual information and entropy. Furthermore, the agent must satisfy a mission specified by temporal logic constraints, which can encode many rich and complex...
In this work, we consider an agent playing a turn-based game in a known environment against an adversary with unknown dynamics. The model of the adversary is assumed to belong to a subclass of regular languages that can be learned in the limit. We use tools from formal methods to synthesize a control strategy for the agent to win the game as it learns the model of its adversary, if a winning strategy...
Background Results from the PROVE IT trial suggest that patients with acute coronary syndrome (ACS) treated with atorvastatin 80 mg/day (A80) have significantly lower rates of cardiovascular events compared with patients treated with pravastatin 40 mg/day (P40). In a genetic post hoc substudy of the PROVE IT trial, the rate of event reduction was greater in carriers of the Trp719Arg variant in kinesin...
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