How OpenAI Uses LSTM
9 engineering articles about LSTM from OpenAI's engineering team
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The article discusses the challenges of generalization in reinforcement learning (RL) and introduces CoinRun, a training environment designed to quantify an agent's ability to transfer experience t...
Karl Cobbe
7 min read
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The article discusses the development of Dactyl, a robot hand trained to manipulate objects with high dexterity.
OpenAI Five is a team of five neural networks that has begun defeating amateur human teams in the complex video game Dota 2.
Greg Brockman
17 min read
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The article discusses advancements in language understanding through unsupervised learning, highlighting the effectiveness of combining transformers and unsupervised pre-training.
Alec Radford
8 min read
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The article discusses a system designed for entity disambiguation using a neural network that categorizes words into approximately 100 automatically discovered types.
OpenAI Team
8 min read
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The article 'Requests for Research 2. 0' presents a new set of seven unsolved problems identified during OpenAI's research.
Ilya Sutskever
7 min read
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The article discusses advancements in robotics that enable robot controllers to generalize from simulation to real-world tasks.
Xue Bin Peng
4 min read
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The article presents Teacher–Student Curriculum Learning (TSCL), a framework for automatic curriculum learning where a Teacher algorithm selects subtasks for a Student to learn.
Tambet Matiisen
2 min read
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The article discusses the development of an unsupervised system that effectively learns sentiment representation by predicting the next character in Amazon reviews.
Alec Radford
5 min read
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