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20162026
most citedEvaluating Large Language Models Trained on Code

1.5k citations · 3.4k across the 17 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.LG2018★ 266 cited

Learning Dexterous In-Hand Manipulation

OpenAI, Marcin Andrychowicz, Bowen Baker +14

We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies which can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The tra…

cs.LG2018★ 186 cited

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Matthias Plappert, Marcin Andrychowicz, Alex Ray +9

The purpose of this technical report is two-fold. First of all, it introduces a suite of challenging continuous control tasks (integrated with OpenAI Gym) based on currently existi…