Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards M Vecerik, T Hester, J Scholz, F Wang, O Pietquin, B Piot, N Heess, ... arXiv preprint arXiv:1707.08817, 2017 | 836 | 2017 |
Learning by playing solving sparse reward tasks from scratch M Riedmiller, R Hafner, T Lampe, M Neunert, J Degrave, T Wiele, V Mnih, ... International conference on machine learning, 4344-4353, 2018 | 506 | 2018 |
Data-efficient deep reinforcement learning for dexterous manipulation I Popov, N Heess, T Lillicrap, R Hafner, G Barth-Maron, M Vecerik, ... arXiv preprint arXiv:1704.03073, 2017 | 331 | 2017 |
Keep doing what worked: Behavioral modelling priors for offline reinforcement learning NY Siegel, JT Springenberg, F Berkenkamp, A Abdolmaleki, M Neunert, ... arXiv preprint arXiv:2002.08396, 2020 | 311 | 2020 |
Continuous-discrete reinforcement learning for hybrid control in robotics M Neunert, A Abdolmaleki, M Wulfmeier, T Lampe, T Springenberg, ... Conference on Robot Learning, 735-751, 2020 | 104 | 2020 |
Beyond pick-and-place: Tackling robotic stacking of diverse shapes AX Lee, CM Devin, Y Zhou, T Lampe, K Bousmalis, JT Springenberg, ... 5th Annual Conference on Robot Learning, 2021 | 102 | 2021 |
Acquiring visual servoing reaching and grasping skills using neural reinforcement learning T Lampe, M Riedmiller The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 90 | 2013 |
Robocat: A self-improving foundation agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, C Devin, AX Lee, M Bauza, T Davchev, ... arXiv preprint arXiv:2306.11706, 2023 | 84 | 2023 |
Self-supervised sim-to-real adaptation for visual robotic manipulation R Jeong, Y Aytar, D Khosid, Y Zhou, J Kay, T Lampe, K Bousmalis, F Nori 2020 IEEE international conference on robotics and automation (ICRA), 2718-2724, 2020 | 69 | 2020 |
Data-efficient hindsight off-policy option learning M Wulfmeier, D Rao, R Hafner, T Lampe, A Abdolmaleki, T Hertweck, ... International Conference on Machine Learning, 11340-11350, 2021 | 51 | 2021 |
Imagined value gradients: Model-based policy optimization with tranferable latent dynamics models A Byravan, JT Springenberg, A Abdolmaleki, R Hafner, M Neunert, ... Conference on Robot Learning, 566-589, 2020 | 47 | 2020 |
A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping T Lampe, LDJ Fiederer, M Voelker, A Knorr, M Riedmiller, T Ball Proceedings of the 19th international conference on Intelligent User …, 2014 | 41 | 2014 |
Compositional transfer in hierarchical reinforcement learning M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ... arXiv preprint arXiv:1906.11228, 2019 | 38 | 2019 |
Approximate model-assisted neural fitted q-iteration T Lampe, M Riedmiller 2014 International Joint Conference on Neural Networks (IJCNN), 2698-2704, 2014 | 36 | 2014 |
Simultaneously learning vision and feature-based control policies for real-world ball-in-a-cup D Schwab, T Springenberg, MF Martins, T Lampe, M Neunert, ... arXiv preprint arXiv:1902.04706, 2019 | 30 | 2019 |
Regularized hierarchical policies for compositional transfer in robotics M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ... arXiv preprint arXiv:1906.11228, 2019 | 30 | 2019 |
Modelling generalized forces with reinforcement learning for sim-to-real transfer R Jeong, J Kay, F Romano, T Lampe, T Rothorl, A Abdolmaleki, T Erez, ... arXiv preprint arXiv:1910.09471, 2019 | 26 | 2019 |
How to spend your robot time: Bridging kickstarting and offline reinforcement learning for vision-based robotic manipulation AX Lee, C Devin, JT Springenberg, Y Zhou, T Lampe, A Abdolmaleki, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
Robocat: A self-improving generalist agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ... Transactions on Machine Learning Research, 2023 | 18 | 2023 |
Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems J Boedecker, T Lampe, M Riedmiller Frontiers in psychology 4, 739, 2013 | 18 | 2013 |