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Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

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Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

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Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

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Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

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Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

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Code for "Learning to Generate Reviews and Discovering Sentiment"

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Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

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Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

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Code for the paper "On First-Order Meta-Learning Algorithms"

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