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PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.

, , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1696-1707. PMLR, (2022)

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Collective robot reinforcement learning with distributed asynchronous guided policy search., , , , and . IROS, page 79-86. IEEE, (2017)PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1696-1707. PMLR, (2022)Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search., , , , and . CoRR, (2016)Asking for Help Using Inverse Semantics., , , , and . Robotics: Science and Systems, (2014)Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment., , , , , , , , and . CoRR, (2024)Recovering from failure by asking for help., , , , and . Auton. Robots, 39 (3): 347-362 (2015)Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping., , , , and . CoRR, (2019)Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping., , , and . ICRA, page 4804-4810. IEEE, (2019)Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping., , , , and . Robotics: Science and Systems, (2020)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)