Segui
Gabriel B. Margolis
Titolo
Citata da
Citata da
Anno
Rapid locomotion via reinforcement learning
GB Margolis, G Yang, K Paigwar, T Chen, P Agrawal
Robotics: Science and Systems, 2022
2262022
Walk these ways: Tuning robot control for generalization with multiplicity of behavior
GB Margolis, P Agrawal
Conference on Robot Learning, 2022
1452022
Learning to jump from pixels
GB Margolis, T Chen, K Paigwar, X Fu, D Kim, S Kim, P Agrawal
Conference on Robot Learning, 2021
912021
DribbleBot: Dynamic legged manipulation in the wild
Y Ji, GB Margolis, P Agrawal
IEEE International Conference on Robotics and Automation, 2023
512023
Learning to see physical properties with active sensing motor policies
GB Margolis, X Fu, Y Ji, P Agrawal
Conference on Robot Learning, 2023
16*2023
Learning force control for legged manipulation
T Portela, GB Margolis, Y Ji, P Agrawal
IEEE International Conference on Robotics and Automation, 2024
132024
Position: Automatic environment shaping is the next frontier in RL
Y Park, GB Margolis, P Agrawal
Forty-first International Conference on Machine Learning, 2024
4*2024
Geometry of contact: contact planning for multi-legged robots via spin models duality
B Chong, D Luo, T Wang, G Margolis, J He, P Agrawal, M Soljačić, ...
arXiv preprint arXiv:2302.03019, 2022
12022
Maximizing quadruped velocity by minimizing energy
S Mahankali, CC Lee, GB Margolis, ZW Hong, P Agrawal
IEEE International Conference on Robotics and Automation, 2024
2024
Action space design in reinforcement learning for robot motor skills
J Eßer, GB Margolis, O Urbann, S Kerner, P Agrawal
Conference on Robot Learning, 2024
2024
Learning robust terrain-aware locomotion
GB Margolis
Massachusetts Institute of Technology, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–11