Under a fixed Rainbow agent and equal training budget, bonus-based exploration methods offer no significant improvement over epsilon-greedy on Montezuma's Revenge or other hard-exploration Atari games, and can degrade easy-game performance.
The relative ranking of methods differs from the one observed on MONTEZUMA ’S REVENGE
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Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Under a fixed Rainbow agent and equal training budget, bonus-based exploration methods offer no significant improvement over epsilon-greedy on Montezuma's Revenge or other hard-exploration Atari games, and can degrade easy-game performance.