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20182025
most citedNeural Architecture Evolution in Deep Reinforcement Learning for Continuous Control

4 citations · 4 across the 3 of their papers we have counts for

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cs.LG2020

Sample-Efficient Automated Deep Reinforcement Learning

Jörg K. H. Franke, Gregor Köhler, André Biedenkapp +1

Despite significant progress in challenging problems across various domains, applying state-of-the-art deep reinforcement learning (RL) algorithms remains challenging due to their…