Efficient Exploration through Bayesian Deep Q-Networks

We study reinforcement learning (RL) in high dimensional episodic Markov decision processes (MDP). We consider value-based RL when the optimal Q-value is a linear function of d-dimensional state-action feature representation... (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