Learning from Visual Observation via Offline Pretrained State-to-Go Transformer

Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu. Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{ZhouLJL23,
  title = {Learning from Visual Observation via Offline Pretrained State-to-Go Transformer},
  author = {Bohan Zhou and Ke Li and Jiechuan Jiang and Zongqing Lu},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/bb203e938836544655996d1bb94a0fd7-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ZhouLJL23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}