Faster Deep Q-learning using Neural Episodic Control

6 Jan 2018 Daichi Nishio Satoshi Yamane

The research on deep reinforcement learning which estimates Q-value by deep learning has been attracted the interest of researchers recently. In deep reinforcement learning, it is important to efficiently learn the experiences that an agent has collected by exploring environment... (read more)

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Methods used in the Paper


METHOD TYPE
Experience Replay
Replay Memory
Double Q-learning
Off-Policy TD Control
Q-Learning
Off-Policy TD Control
Double DQN
Q-Learning Networks
Dense Connections
Feedforward Networks
Convolution
Convolutions
DQN
Q-Learning Networks