MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

7 Mar 2019 Kenny Young Tian Tian

The Arcade Learning Environment (ALE) is a popular platform for evaluating reinforcement learning agents. Much of the appeal comes from the fact that Atari games demonstrate aspects of competency we expect from an intelligent agent and are not biased toward any particular solution approach... (read more)

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Methods used in the Paper


METHOD TYPE
Q-Learning
Off-Policy TD Control
Dense Connections
Feedforward Networks
Convolution
Convolutions
DQN
Q-Learning Networks