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RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control., , , , , , , , , and 44 other author(s). CoRL, volume 229 of Proceedings of Machine Learning Research, page 2165-2183. PMLR, (2023)Scaling simulation-to-real transfer by learning a latent space of robot skills., , , , , , , and . Int. J. Robotics Res., (2020)Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning., , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 2120-2136. PMLR, (2020)Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation., , , , , and . CoRR, (2018)Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning., , , , and . CoRR, (2021)Conditionally Combining Robot Skills using Large Language Models., , , and . CoRR, (2023)RT-1: Robotics Transformer for Real-World Control at Scale., , , , , , , , , and 41 other author(s). Robotics: Science and Systems, (2023)Efficient Multi-Task Learning via Iterated Single-Task Transfer., , , , and . IROS, page 10141-10146. IEEE, (2022)Do As I Can, Not As I Say: Grounding Language in Robotic Affordances., , , , , , , , , and 35 other author(s). CoRL, volume 205 of Proceedings of Machine Learning Research, page 287-318. PMLR, (2022)Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators., , , , , , , , , and 30 other author(s). Robotics: Science and Systems, (2023)