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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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09/27/2020
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models
We propose a method to predict the sim-to-real transfer performance of R...
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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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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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06/06/2017
Parameter Space Noise for Exploration
Deep reinforcement learning (RL) methods generally engage in exploratory...
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05/18/2017
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Linking human whole-body motion and natural language is of great interes...
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07/13/2016
