On the Role of the Action Space in Robot Manipulation Learning and
Sim-to-Real Transfer

On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer

6 December 2023

Maximilian Karl

Patrick van der Smagt

Papers citing "On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer"

11 / 11 papers shown

Title
Accelerating Model-Based Reinforcement Learning with State-Space World Models Maria Krinner Elie Aljalbout Angel Romero Davide Scaramuzza OffRL 66 1 0 27 Feb 2025
A Monocular Event-Camera Motion Capture System L. Bauersfeld Davide Scaramuzza 66 1 0 17 Feb 2025
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 29 1 0 29 Oct 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 32 3 0 23 Jul 2024
LIMT: Language-Informed Multi-Task Visual World Models Elie Aljalbout Nikolaos Sotirakis Patrick van der Smagt Maximilian Karl Nutan Chen 32 5 0 18 Jul 2024
The Shortcomings of Force-from-Motion in Robot Learning Elie Aljalbout Felix Frank Patrick van der Smagt A. Paraschos 21 1 0 03 Jul 2024
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction Yunfan Jiang Chen Wang Ruohan Zhang Jiajun Wu Fei-Fei Li OnRL 30 25 0 16 May 2024
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology Pierre Schumacher Lorenz Krause Jan Schneider-Barnes Dieter Buchler Georg Martius D. Haeufle 10 0 0 08 Feb 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks Mehdi Heydari Shahna Seyed Adel Alizadeh Kolagar J. Mattila 8 4 0 04 Feb 2024
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 33 35 0 16 Jun 2023
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 110 541 0 24 Sep 2021