A systematic empirical study showing that cycle-based fusion of two or three intrinsic rewards improves exploration and unsupervised RL performance more than single rewards.
The arcade learning environment: An evaluation platform for general agents
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Deep Reinforcement Learning with Hybrid Intrinsic Reward Model
A systematic empirical study showing that cycle-based fusion of two or three intrinsic rewards improves exploration and unsupervised RL performance more than single rewards.