ACRL in Philadelphia
نویسندگان
چکیده
منابع مشابه
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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s of the papers read follow below. Papers whose abstract numbers are followed by the letter "t were read by title. Paper number 336 was read by Mr. Kuhn, paper number 339 by Mr. Porcelli, paper number 342 by Professor Rosenbloom, paper number 365 by Miss Whitney, and paper number 390 by Dr. Blakers. Mr. 686 AMERICAN MATHEMATICAL SOCIETY [July Szekeres was introduced by Professor T. R. Hollcroft...
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ژورنال
عنوان ژورنال: College & Research Libraries News
سال: 1982
ISSN: 2150-6698,0099-0086
DOI: 10.5860/crln.43.5.159