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Atalay Donat

2 accepted papers

2024

MaIL: Improving Imitation Learning with Selective State Space Models

CoRL 2024poster

This work introduces Mamba Imitation Learning (MaIL), a novel imitation learning (IL) architecture that offers a computationally efficient alternative to state-of-the-art (SoTA) Transformer policies. Transformer-based policies have achieved remarkable results due to their ability in handling human-r…

Cited by 7SourceScholar
2024

Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations

ICLR 2024poster

Imitation learning with human data has demonstrated remarkable success in teaching robots in a wide range of skills. However, the inherent diversity in human behavior leads to the emergence of multi-modal data distributions, thereby presenting a formidable challenge for existing imitation learning a…

Cited by 24SourcePDFScholar