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- AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning 468 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Jukebox https://openai.com/blog/jukebox/ 130 comments
- Better Language Models and Their Implications https://openai.com/blog/better-language-models/ 99 comments
- Turing test - Wikipedia http://en.wikipedia.org/wiki/Turing_test 80 comments
- OpenAI API https://openai.com/blog/openai-api/ 25 comments
- Human Connectome Project | Mapping the human brain connectivity http://www.humanconnectomeproject.org/ 8 comments
- The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time. http://jalammar.github.io/illustrated-gpt2/ 8 comments
- Boltzmann machine - Wikipedia http://en.wikipedia.org/wiki/Boltzmann_machine 4 comments
- Neuroevolution of augmenting topologies - Wikipedia https://en.wikipedia.org/wiki/neuroevolution_of_augmenting_topologies 4 comments
- Evolving Stable Strategies | 大トロ http://blog.otoro.net/2017/11/12/evolving-stable-strategies/ 1 comment
- Competitive Self-Play https://openai.com/blog/competitive-self-play/ 0 comments
- A critique of pure learning and what artificial neural networks can learn from animal brains | Nature Communications https://www.nature.com/articles/s41467-019-11786-6 0 comments
- Gentle Introduction to the Adam Optimization Algorithm for Deep Learning - MachineLearningMastery.com http://machinelearningmastery.com/adam-optimization-algorithm-for-deep-learning/ 0 comments
- AlphaGo https://deepmind.com/research/case-studies/alphago-the-story-so-far 0 comments
- Designing neural networks through neuroevolution | Nature Machine Intelligence https://www.nature.com/articles/s42256-018-0006-z 0 comments
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