A DQN augmented with a contextual bandit that selects action durations is reported to outperform fixed and discrete action-repeat baselines on five Atari games.
Frame skip is a powerful parameter for learning to play Atari
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Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
A DQN augmented with a contextual bandit that selects action durations is reported to outperform fixed and discrete action-repeat baselines on five Atari games.