![Markov processes / Stochastic control / Artificial intelligence / Partially observable Markov decision process / Control theory / Automated planning and scheduling / Game artificial intelligence / Hindsight / Heuristic function / Search algorithms / Statistics / Dynamic programming Markov processes / Stochastic control / Artificial intelligence / Partially observable Markov decision process / Control theory / Automated planning and scheduling / Game artificial intelligence / Hindsight / Heuristic function / Search algorithms / Statistics / Dynamic programming](https://www.pdfsearch.io/img/18a992836846d9253d4c17196c92c56a.jpg) Date: 2011-06-14 15:17:26Markov processes Stochastic control Artificial intelligence Partially observable Markov decision process Control theory Automated planning and scheduling Game artificial intelligence Hindsight Heuristic function Search algorithms Statistics Dynamic programming | | POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce [removed], [removed] Utah State University Logan, UTAdd to Reading ListSource URL: users.cecs.anu.edu.auDownload Document from Source Website File Size: 399,99 KBShare Document on Facebook
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