Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning

1 Jan 2021 Anonymous

Deep reinforcement learning (DRL) has great potential for acquiring the optimal action in complex environments such as games and robot control. However, it is difficult to analyze the decision-making of the agent, i.e., the reasons it selects the action acquired by learning... (read more)

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METHOD TYPE
Softmax
Output Functions
Convolution
Convolutions
Dense Connections
Feedforward Networks
Entropy Regularization
Regularization
A3C
Policy Gradient Methods