Linking pages
- Building A.I. That Can Build A.I. - The New York Times https://www.nytimes.com/2017/11/05/technology/machine-learning-artificial-intelligence-ai.html 103 comments
- Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 90 comments
- Reptile: A Scalable Meta-Learning Algorithm https://blog.openai.com/reptile/ 14 comments
- One-Shot Imitation from Watching Videos – The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/2018/06/28/daml/ 8 comments
- How to fix reinforcement learning https://thegradient.pub/how-to-fix-rl/ 3 comments
- Attention? Attention! | Lil'Log https://lilianweng.github.io/posts/2018-06-24-attention/ 2 comments
- BYOBBO. Build your own black-box optimizer | by David Sweet | Medium https://medium.com/@davidsweet_85241/byobbo-a827ae0fafa 0 comments
- Adapting on the Fly to Test Time Distribution Shift – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2020/11/05/arm/ 0 comments
- 🐣 From zero to research — An introduction to Meta-learning | by Thomas Wolf | HuggingFace | Medium https://medium.com/huggingface/from-zero-to-research-an-introduction-to-meta-learning-8e16e677f78a 0 comments
- Robots that Learn to Adapt – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/05/06/robot-adapt/ 0 comments
- Exploring Evolutionary Meta-Learning in Robotics – Google AI Blog https://ai.googleblog.com/2020/04/exploring-evolutionary-meta-learning-in.html 0 comments
- Adapting on the Fly to Test Time Distribution Shift | SAIL Blog http://ai.stanford.edu/blog/adaptive-risk-minimization/ 0 comments
- Learning to Learn with Probabilistic Task Embeddings – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/06/10/pearl/ 0 comments
- Meta-Learning: Learning to Learn Fast | Lil'Log https://lilianweng.github.io/posts/2018-11-30-meta-learning/ 0 comments
Linked pages
- [1606.04474] Learning to learn by gradient descent by gradient descent http://arxiv.org/abs/1606.04474 45 comments
- [1611.01578] Neural Architecture Search with Reinforcement Learning https://arxiv.org/abs/1611.01578 38 comments
- [1502.03492] Gradient-based Hyperparameter Optimization through Reversible Learning http://arxiv.org/abs/1502.03492 16 comments
- [1611.02779] RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning https://arxiv.org/abs/1611.02779 9 comments
- [1611.05763] Learning to reinforcement learn https://arxiv.org/abs/1611.05763 9 comments
- https://arxiv.org/pdf/1703.03400.pdf 4 comments
- [1611.02167] Designing Neural Network Architectures using Reinforcement Learning https://arxiv.org/abs/1611.02167 0 comments
- MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
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