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ujava.org Reinforcement Learning (2nd)

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This document contains notes from a reinforcement learning workshop held by Intelligent City Ltd. on August 12, 2016. The notes cover various reinforcement learning topics including reinforcement, Markov processes, Bayesian probability, multi-armed bandit problems, Thompson sampling, Gaussian processes, and exploration versus exploitation in reinforcement learning problems. The workshop was led by Shindong Kang, CEO of Intelligent City Ltd.

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Reinforcement Learning (2nd) ujava.org Workshop 2016-08-12 www.idosi.com CEO 강신동 Shindong KANG (주)지능도시
www.idosi.comujava.org
www.idosi.comspaceapi.org
www.idosi.comReinforcement Learning for Brick Game
www.idosi.comReinforcement Learning for Brick Game
www.idosi.comTo Flip Pancake
www.idosi.comCrawling Robot on Carpet
www.idosi.comPavlov's Dog
www.idosi.comPavlov
www.idosi.comReinforcement (강화)
www.idosi.comReinforcement Learning
www.idosi.comForecast
www.idosi.comForecast with probability
www.idosi.comUnknown model & real facts Deep Neural Network Bayesian Probability
www.idosi.comVariance (분산)
www.idosi.comVariance (분산)
www.idosi.comRandrom Variable
www.idosi.comTypes of Randrom Variable
www.idosi.comDiscrete Probability Distribution
www.idosi.comContinuous Probability Distribution, Probability Density Function Density (밀도)
www.idosi.comExpected value (기대값) EV = xP/1
www.idosi.comExpected Value for Continuous variable
www.idosi.comCovariance (공분산)
www.idosi.comCovariance
www.idosi.comProbability (확률)
www.idosi.comConditional Probability (조건부 확률)
www.idosi.comBayes rule
www.idosi.comBayesian Probability (베이지안 확률)
www.idosi.comBayesian Probability (베이지안 확률) P(fair|H) = ? P(A) = P(fair) = ½ P(B) = P(H) = ¾ P(B|A) = P(H|fair) = ½ ½ ½ 1 --- = –-- ¾ 3
www.idosi.comBrownian motion (브라운 운동)
www.idosi.comBrownian motion, Gaussian distribution
www.idosi.comSnapshot of state
www.idosi.comMarkov Chain
www.idosi.comProcess Probability (과정 확률) s1 s2 s3 Episode process : s1, s2 = ? s2, s3 = ? s1, s3 = ?
www.idosi.comMarkov Process
www.idosi.comMarkov Process
www.idosi.comMath Product Symbol
www.idosi.comMarkov Process
www.idosi.comMarkov Process
www.idosi.comMarkov Process
www.idosi.comStochastic Matrix
www.idosi.comStochastic Matrix 0.4 0.6 0.7 0.3
www.idosi.com2 Snapshots of state Direction using Second Order
www.idosi.comMarkov Process
www.idosi.com3 Snapshots of state Acceleration using 3rd order
www.idosi.comExploitation and Exploration (개발 and 탐험)
www.idosi.comState-action exploration vs. Parameter exploration
www.idosi.comMulti-armed bandit problem
www.idosi.comThompson sampling
www.idosi.comSimulated Bandit Performance
www.idosi.comMulti-armed bandit problem
www.idosi.comMulti-Armed Bandit Algorithms
www.idosi.comMAB Reward
www.idosi.comFunction's Probability Distribution Function's Probability Distribution ?
www.idosi.comFunction's Probability Distribution y = ax^2 +b
www.idosi.comFunction's Probability Distribution with Gaussian Distribution y = ax^2 +b
www.idosi.comFunction's Probability Distribution with Gaussian Distribution
www.idosi.comGaussian Process Regreesion
www.idosi.comGaussian Process From “C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006”
www.idosi.comThompson sampling
www.idosi.com Thank you ! (주)지능도시 Intelligent City Ltd. 강신동 Shindong KANG www.idosi.com ceo@idosi.com

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