uber-research/deep-neuroevolution
Deep Neuroevolution
Implements distributed evolutionary algorithms (DeepGA, ES, NS-ES, NSR-ES) for training deep neural networks in RL environments, comparing genetic algorithms against gradient-based methods on Atari and MuJoCo tasks. Supports local execution via Redis-backed distributed workers and AWS deployment, with GPU-accelerated variants and VINE, an interactive visualization tool for analyzing neuroevolution dynamics.
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Python
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Jan 08, 2024
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