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A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping.

, , , , , и . IUI, стр. 83-88. ACM, (2014)

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Thomas Lampe

Thomas Lampe

Thomas Lampe

Thomas Lampe

Thomas Lampe

 

Другие публикации лиц с тем же именем

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation., , , , , , , и . ICRA, стр. 2718-2724. IEEE, (2020)Data-efficient Hindsight Off-policy Option Learning., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup., , , , , , , , , и . Robotics: Science and Systems, (2019)Data-efficient Hindsight Off-policy Option Learning., , , , , , , , , и 1 other автор(ы). ICML, том 139 из Proceedings of Machine Learning Research, стр. 11340-11350. PMLR, (2021)A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping., , , , , и . IUI, стр. 83-88. ACM, (2014)Replay across Experiments: A Natural Extension of Off-Policy RL., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots., , , , , , , , , и 5 other автор(ы). ICRA, стр. 7772-7779. IEEE, (2024)Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models., , , , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 566-589. PMLR, (2019)Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning., , , , , , , , и . CoRR, (2020)Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning., , , , , , , , и . ICLR, OpenReview.net, (2020)