papers | Deep Learning JP - Part 89

PGQ: COMBINING POLICY GRADIENT AND QLEARNING

SAMPLE EFFICIENT ACTOR-CRITIC WITH EXPERIENCE REPLAY

Q-PROP: SAMPLE-EFFICIENT POLICY GRADIENT WITH AN OFF-POLICY CRITIC

REINFORCEMENT LEARNING WITH UNSUPERVISED AUXILIARY TASKS

Unsupervised Learning of 3D Structure from Images

Tuning Recurrent Neural Networks with Reinforcement Learning

DL Hacks輪読

Introduction of Reinforcement Learning

Matching Networks for One Shot Learning

Semi-supervised learning with context-conditional generative adversarial networks

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