Deep Attention Recurrent Q-Network

A deep learning approach to reinforcement learning led to a general learner able to train on visual input to play a variety of arcade games at the human and superhuman levels. Its creators at the Google DeepMind's team called the approach: Deep Q-Network (DQN)... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Atari Games Atari 2600 Breakout DARQN hard Score 20 # 38
Atari Games Atari 2600 Gopher DARQN soft Score 5356 # 32
Atari Games Atari 2600 Seaquest DARQN soft Score 7263 # 20
Atari Games Atari 2600 Space Invaders DARQN soft Score 650 # 40
Atari Games Atari 2600 Tutankham DARQN soft Score 197 # 20

Methods used in the Paper