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16-899C ACRL Tetris Reinforcement Learner
Our approach to this problem was to use reinforcement learning with a function approximator to approximate the state value function [RSS98]. In our case, a +1 reward was given for every completed line, so that the value function would encode the long-term number of lines that is going to be completed by the algorithm. In order to achieve this, we extract features from the game state, and use gr...
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Some of the most important questions in the area of decision making under uncertainty deal with individual decisions to conform to or violate norms of behavior. The decision to conform to a norm is complicated by uncertainty about the norms others hold (Bohnet and Zeckhauser, 2004) and strong inclinations to behave collectively Milgram (1977). (For the present purpose, we adopt the broad defini...
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Why is the mirror neuron system so controversial? About a dozen papers have reported direct evidence for mirror neuron activity in monkeys and birds. Approximately 100 times as many papers refer to mirror neurons without directly recording their activity, often implying a link between mirror neurons and higher cognitive functions. While the existence of mirror neurons in animals is beyond doubt...
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ژورنال
عنوان ژورنال: College & Research Libraries News
سال: 1993
ISSN: 2150-6698,0099-0086
DOI: 10.5860/crln.54.8.461