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20202026
most citedReactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

3 citations · 9 across the 9 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 3 cited

Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari

Dominik Schmidt, Thomas Schmied

Across the Arcade Learning Environment, Rainbow achieves a level of performance competitive with humans and modern RL algorithms. However, attaining this level of performance requi…