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03/04/2022
Training language models to follow instructions with human feedback
Making language models bigger does not inherently make them better at fo...
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01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
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07/07/2021
Evaluating Large Language Models Trained on Code
We introduce Codex, a GPT language model fine-tuned on publicly availabl...
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01/13/2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
We train a single, goal-conditioned policy that can solve many robotic m...
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12/07/2020
Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
This report presents the debates, posters, and discussions of the Sim2Re...
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10/16/2019
Solving Rubik's Cube with a Robot Hand
We demonstrate that models trained only in simulation can be used to sol...
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06/26/2019
ORRB – OpenAI Remote Rendering Backend
We present the OpenAI Remote Rendering Backend (ORRB), a system that all...
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02/26/2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
The purpose of this technical report is two-fold. First of all, it intro...
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10/18/2017
Asymmetric Actor Critic for Image-Based Robot Learning
Deep reinforcement learning (RL) has proven a powerful technique in many...
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07/05/2017
Hindsight Experience Replay
Dealing with sparse rewards is one of the biggest challenges in Reinforc...
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10/08/2012