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Found 3 papers, 2 papers with code
DiBB: Distributing Black-Box Optimization
We present a novel framework for Distributing Black-Box Optimization (DiBB).
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
We propose a novel method for analyzing and visualizing the complexity of standard reinforcement learning (RL) benchmarks based on score distributions.
Playing Atari with Six Neurons
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 both extracting useful information and making decisions based on it.
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Atari Games
on Atari 2600 Phoenix
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