Reinforcement Learning with few reward is challenge subject. This slide provides same method for reinforce learning with few reward and some latent variable model by VAE.
This slide explain about identification between various points cloud that is generated by Leaser scanning. The identification is made by ICP(Interactive Closed Point) which uses SVD method.
Reinforcement Learning with few reward is challenge subject. This slide provides same method for reinforce learning with few reward and some latent variable model by VAE.
This slide explain about identification between various points cloud that is generated by Leaser scanning. The identification is made by ICP(Interactive Closed Point) which uses SVD method.
14. 参考文献
• Mastering the Game of Go with Deep Neural Network and Tree
Seach DeepMind
• Playing Atari with Deep Reinforcement Learning DeepMind
• Reinforcement Learning Sutton
• 心 分子機構 計算理論的 銅谷 賢治
• Probablistic Robtics Thurn
• Maximum Entropy Deep Inverse Reinforcement Learning
ICPR2014
• Inverse Reinforcement Learning with Locally Consistent Reward
Functions NIPS2015