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pro vyhledávání: '"Hamid, Jubayer Ibn"'
Predicting and executing a sequence of actions without intermediate replanning, known as action chunking, is increasingly used in robot learning from human demonstrations. Yet, its reported effects on the learned policy are inconsistent: some studies
Externí odkaz:
http://arxiv.org/abs/2408.17355
Inductive biases are crucial in disentangled representation learning for narrowing down an underspecified solution set. In this work, we consider endowing a neural network autoencoder with three select inductive biases from the literature: data compr
Externí odkaz:
http://arxiv.org/abs/2404.10282
Inspired by the success of transfer learning in computer vision, roboticists have investigated visual pre-training as a means to improve the learning efficiency and generalization ability of policies learned from pixels. To that end, past work has fa
Externí odkaz:
http://arxiv.org/abs/2312.12444