Reinforcement Learning with Quantum Variational Circuits

15 Aug 2020 Owen Lockwood Mei Si

The development of quantum computational techniques has advanced greatly in recent years, parallel to the advancements in techniques for deep reinforcement learning. This work explores the potential for quantum computing to facilitate reinforcement learning problems... (read more)

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Methods used in the Paper


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