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- research-article
COMBO: conservative offine model-based policy optimization
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
Efficiently identifying task groupings for multi-task learning
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
Conservative data sharing for multi-task offine reinforcement learning
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
Visual adversarial imitation learning using variational models
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
PaLM-E: an embodied multimodal language model
- Danny Driess,
- Fei Xia,
- Mehdi S. M. Sajjadi,
- Corey Lynch,
- Aakanksha Chowdhery,
- Brian Ichter,
- Ayzaan Wahid,
- Jonathan Tompson,
- Quan Vuong,
- Tianhe Yu,
- Wenlong Huang,
- Yevgen Chebotar,
- Pierre Sermanet,
- Daniel Duckworth,
- Sergey Levine,
- Vincent Vanhoucke,
- Karol Hausman,
- Marc Toussaint,
- Klaus Greff,
- Andy Zeng,
- Igor Mordatch,
- Pete Florence
July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning - research-article
Offline imitation learning with suboptimal demonstrations via relaxed distribution matching
February 2023AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligencehttps://doi.org/10.1609/aaai.v37i9.26305