Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning

20 October 2020

Papers citing "Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning"

6 / 6 papers shown

Title
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 87 1 0 20 Feb 2025
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 33 3 0 27 Oct 2023
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model Suresh Guttikonda Jan Achterhold Haolong Li Joschka Boedecker Joerg Stueckler 29 2 0 18 Jul 2023
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Simon Guist Jan Schneider Hao Ma Tianyu Cui V. Berenz ... Felix Gruninger M. Muhlebach J. Fiene Bernhard Schölkopf Le Chen 47 4 0 05 Jul 2023
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control Moritz Reuss Niels van Duijkeren R. Krug P. Becker Vaisakh Shaj Gerhard Neumann 9 5 0 27 May 2022