Neural Dynamic Policies for End-to-End Sensorimotor Learning

Neural Dynamic Policies for End-to-End Sensorimotor Learning

4 December 2020

Mustafa Mukadam

Papers citing "Neural Dynamic Policies for End-to-End Sensorimotor Learning"

10 / 60 papers shown

Title
Orientation Probabilistic Movement Primitives on Riemannian Manifolds Leonel Rozo Vedant Dave 11 35 0 28 Oct 2021
FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion Tianyu Li Jungdam Won Sehoon Ha Akshara Rai 53 13 0 27 Sep 2021
Hierarchical Few-Shot Imitation with Skill Transition Models Kourosh Hakhamaneshi Ruihan Zhao Albert Zhan Pieter Abbeel Michael Laskin OffRL 16 40 0 19 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 25 27 0 12 Jul 2021
Learning Riemannian Manifolds for Geodesic Motion Skills Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 24 33 0 08 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan 14 1 0 05 Jun 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 33 25 0 11 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa T. Bhattacharjee Matthew R. Walter Jan Peters 26 35 0 05 May 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 33 2 0 07 Apr 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 424 0 10 Mar 2020