seminar | Deep Learning JP - Part 85

Continuous Deep Q-Learning with Model-based Acceleration

TREE-STRUCTURED VARIATIONAL AUTOENCODER

Learning Convolutional Neural Networks for Graphs

Hybrid Computing using a Neural Network with Dynamic External Memory

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

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