Difference between revisions of "Yasuhiro Osaki"

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=TD(λ)-MC=
 
=TD(λ)-MC=
Yasuhiro Osaki's research was about [[Reinforcement Learning|reinforcement learning]] and the application of [[Temporal Difference Learning#TDLamba|TD(λ)]] based on [https://en.wikipedia.org/wiki/Monte_Carlo_method Monte-Carlo simulations] in computer games. The program committee of the [[Conferences#GPW|12th Game Programming Workshop 2007]] gave the best presentation award to Yasuhiro Osaki on '''TD(λ)-MC''', a reinforcement learning approach with Monte-carlo simulations <ref>[[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2007'''). ''Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method''. [[Conferences#GPW|12th Game Programming Workshop]]</ref> <ref>[https://en.wikipedia.org/wiki/Temporal_difference_learning#Mathematical_formulation TD-Lamda from Wikipedia]</ref>.  
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Yasuhiro Osaki's research was about [[Reinforcement Learning|reinforcement learning]] and the application of [[Temporal Difference Learning#TDLamba|TD(λ)]] based on [https://en.wikipedia.org/wiki/Monte_Carlo_method Monte-Carlo simulations] in computer games. The program committee of the [[Conferences#GPW12|12th Game Programming Workshop 2007]] gave the best presentation award to Yasuhiro Osaki on '''TD(λ)-MC''', a reinforcement learning approach with Monte-carlo simulations <ref>[[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2007'''). ''Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method''. [[Conferences#GPW12|12th Game Programming Workshop]]</ref> <ref>[https://en.wikipedia.org/wiki/Temporal_difference_learning#Mathematical_formulation TD-Lamda from Wikipedia]</ref>.  
  
 
=Selected Publications=  
 
=Selected Publications=  
 
<ref>[https://dblp.uni-trier.de/pers/hd/o/Osaki:Yasuhiro dblp: Yasuhiro Osaki]</ref>
 
<ref>[https://dblp.uni-trier.de/pers/hd/o/Osaki:Yasuhiro dblp: Yasuhiro Osaki]</ref>
* [[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2007'''). ''Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method''. [[Conferences#GPW|12th Game Programming Workshop]]
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* [[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2007'''). ''Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method''. [[Conferences#GPW12|12th Game Programming Workshop]]
 
* [[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2008'''). ''An Othello Evaluation Function Based on Temporal Difference Learning using Probability of Winning''. [http://www.csse.uwa.edu.au/cig08/Proceedings/toc.html CIG'08], [http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8010.pdf pdf]
 
* [[Yasuhiro Osaki]], [[Kazutomo Shibahara]], [[Yasuhiro Tajima]], [[Yoshiyuki Kotani]] ('''2008'''). ''An Othello Evaluation Function Based on Temporal Difference Learning using Probability of Winning''. [http://www.csse.uwa.edu.au/cig08/Proceedings/toc.html CIG'08], [http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8010.pdf pdf]
* [[Yasuhiro Osaki]], [[Yoshiyuki Kotani]] ('''2009'''). ''A Learning Method of Evaluation Function Based on Selective Simulations''. [[Conferences#GPW|14th Game Programming Workshop]]
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* [[Yasuhiro Osaki]], [[Yoshiyuki Kotani]] ('''2009'''). ''A Learning Method of Evaluation Function Based on Selective Simulations''. [[Conferences#GPW14|14th Game Programming Workshop]]
  
 
=External Links=
 
=External Links=

Latest revision as of 13:20, 7 March 2019

Home * People * Yasuhiro Osaki

Yasuhiro Osaki [1]

Yasuhiro Osaki,
a Japanese software engineer and computer scientist at Sony. Until 2010, Yasuhiro Osaki was affiliated with the laboratory of professor Yoshiyuki Kotani at the Tokyo University of Agriculture and Technology.

TD(λ)-MC

Yasuhiro Osaki's research was about reinforcement learning and the application of TD(λ) based on Monte-Carlo simulations in computer games. The program committee of the 12th Game Programming Workshop 2007 gave the best presentation award to Yasuhiro Osaki on TD(λ)-MC, a reinforcement learning approach with Monte-carlo simulations [2] [3].

Selected Publications

[4]

External Links

References

  1. YasuhiroOsaki (Yasuhiro Osaki) · GitHub
  2. Yasuhiro Osaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani (2007). Reinforcement Learning of Evaluation Functions Using Temporal Difference-Monte Carlo learning method. 12th Game Programming Workshop
  3. TD-Lamda from Wikipedia
  4. dblp: Yasuhiro Osaki

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