Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains — mentioned by BickNowstrom

Mon, 05 Dec 2016 18:52:57 GMT

1. Games are great for studying intelligent agent behavior and intelligence itself. An intelligent agent will find hidden abstractions and patterns in a large dimensionality. Language understanding, vision, decision science, solving long-temporal credit assignment etc. all are present. Russell & Norvig (2003) considered goal-directed behavior as the essence of intelligence. Also see possibly the first papers on AI and their focus on parlor games: https://en.wikipedia.org/wiki/Theory_of_Games_and_Economic_B... & http://www.loebner.net/Prizef/TuringArticle.html 2. This platform will provide a…

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Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains — mentioned by _delirium

Tue, 15 Mar 2016 05:08:53 GMT

For some reason that PDF loads incredibly slowly for me, so here's a link to the abstract on arXiv.org: http://arxiv.org/abs/1603.04119

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Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains · HackerPapers discussions

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains — mentioned by BickNowstrom

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains — mentioned by _delirium