most citedAnalyzing Reinforcement Learning Benchmarks with Random Weight Guessing

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2020★ 1 cited

Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing

Declan Oller, Tobias Glasmachers, Giuseppe Cuccu

We propose a novel method for analyzing and visualizing the complexity of standard reinforcement learning (RL) benchmarks based on score distributions. A large number of policy net…

cs.LG2018

Playing Atari with Six Neurons

Giuseppe Cuccu, Julian Togelius, Philippe Cudre-Mauroux

Deep reinforcement learning, applied to vision-based problems like Atari games, maps pixels directly to actions; internally, the deep neural network bears the responsibility of bot…