124 citations · 173 across the 5 of their papers we have counts for
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cs.NE2018★ 1 cited
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu +8
Much human and computational effort has aimed to improve how deep reinforcement learning algorithms perform on benchmarks such as the Atari Learning Environment. Comparatively less…
cs.NE2018★ 1 cited
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution
Rui Wang, Jeff Clune, Kenneth O. Stanley
Recent advances in deep neuroevolution have demonstrated that evolutionary algorithms, such as evolution strategies (ES) and genetic algorithms (GA), can scale to train deep neural…