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20192024
most citedLearning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2021

Pre-training of Deep RL Agents for Improved Learning under Domain Randomization

Artemij Amiranashvili, Max Argus, Lukas Hermann +2

Visual domain randomization in simulated environments is a widely used method to transfer policies trained in simulation to real robots. However, domain randomization and augmentat…