Exploring Icra 2021 Contrastive Domain Randomization
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- Abstract: This paper presents a novel approach that allows a swarm of heterogeneous robots to produce simultaneously ...
- Training deep reinforcement learning (DRL) locomotion policies often requires massive amounts of data to converge to the ...
- We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for reinforcement learning in the presence of sparse ...
- Simon Zimmermann, Roi Poranne, Stelian Coros.
- Authors: Raghad Alghonaim and Edward Johns Institution: The Robot Learning Lab at Imperial College London Website: ...
In-Depth Information on Icra 2021 Contrastive Domain Randomization
Unsupervised Feature Learning for Manipulation with Best Cognitive Robotics Paper Award Finalist. Website: https://yuqingd.github.io/autotuned-sim2real/ Abstract: Policies trained in ... Presentation at set up settings, see https://arxiv.org/pdf/2103.11144.pdf.
We have replicated the results of the amazing paper by OpenAI "
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