MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht. MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{WagenerKFLCH22,
  title = {MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control},
  author = {Nolan Wagener and Andrey Kolobov and Felipe Vieira Frujeri and Ricky Loynd and Ching-An Cheng and Matthew J. Hausknecht},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/e5dd4fbb6fb4cb805b982bfb41c20aad-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/WagenerKFLCH22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}