Reinforcement Learning

• Progressive Neural Networks (2016. 6)

  • ProgNN, Incorporate Prior Knowledge

  • arXiv, the morning paper

• Neural Architecture Search with Reinforcement Learning (2016. 11)

  • NAS, Google AutoML, Google Brain

  • arXiv

• Third-Person Imitation Learning (2017. 3)

  • Imitation Learning, Unsupervised (Third-Person), GAN + Domain Confusion

  • arXiv

• Noisy Networks for Exploration (2017. 6)

  • NoisyNet, Exploration, DeepMind

  • arXiv, note

• Efficient Neural Architecture Search via Parameter Sharing (2018. 2)

  • ENAS, Google AutoML, Google Brain

  • arXiv

• Learning by Playing - Solving Sparse Reward Tasks from Scratch (2018. 2)

  • Scratch with minimal prior knowledge, Scheduled Auxiliary Control (SAC-X), DeepMind

  • arXiv, deep_mind

• Investigating Human Priors for Playing Video Games (2018. 2)

  • prior knowledge, key factor

  • open_review

• World Models (2018. 3)

  • Generative + RL, VAE (V), MDN-RNN (M), Controller (C)

  • arXiv

• Unsupervised Predictive Memory in a Goal-Directed Agent (2018. 3)

  • MERLIN, Memory + RL + Inference, Partial Observability

  • arXiv, google_ai_blog