Pieter Abbeel mentioned that the #nips2017 Meta Learning Symposium videos are now available here.
Thanks to Risto Miikkulainen, Quoc Le, Kenneth Stanley, and Chrisantha Fernando for organizing and getting the videos online !
Thanks to Risto Miikkulainen, Quoc Le, Kenneth Stanley, and Chrisantha Fernando for organizing and getting the videos online !
Opening remarks, Quoc Le (slides, video)
Topic I: Evolutionary Optimization
- Evolving Multitask Neural Network Structure, Risto Miikkulainen (slides, video)
- Evolving to Learn through Synaptic Plasticity, Ken Stanley (slides, video)
- PathNet and Beyond, Chrisantha Fernando (slides, video)
- Bayesian Optimization for Automated Model Selection, Roman Garnett (slides, video)
- Automatic Machine Learning (AutoML) and How To Speed It Up, Frank Hutter (slides, video)
Topic III: Gradient Descent
- Contrasting Model- and Optimization-based Metalearning, Oriol Vinyals (slides, video)
- Population-based Training for Neural Network Meta-Optimization, Max Jaderberg (slides, video)
- Learning to Learn for Robotic Control, Pieter Abbeel (slides, video)
- On Learning How to Learn Learning Strategies, Juergen Schmidhuber (slides, video)
Topic IV: Reinforcement Learning
- Intrinsically Motivated Reinforcement Learning, Satinder Singh (video)
- Self-Play, Ilya Sutskever (slides, video)
- Neural Architecture Search, Quoc Le (slides, video)
- Multiple scales of reward and task learning, Jane Wang (slides, video)
Panel discussion, Moderator: Risto Miikkulainen, Panelists: Frank Hutter, Juergen Schmidhuber, Ken Stanley, Ilya Sutskever (video)
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