Representation Matters: Improving Perception and Exploration for
Robotics

Representation Matters: Improving Perception and Exploration for Robotics

3 November 2020

Markus Wulfmeier

Arunkumar Byravan

Tejas D. Kulkarni

Malcolm Reynolds

Denis Teplyashin

Martin Riedmiller

Papers citing "Representation Matters: Improving Perception and Exploration for Robotics"

6 / 6 papers shown

Title
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training Rogerio Bonatti Sai H. Vemprala Shuang Ma Felipe Vieira Frujeri Shuhang Chen Ashish Kapoor 33 22 0 22 Sep 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 35 20 0 17 Sep 2021
Playful Interactions for Representation Learning Sarah Young Jyothish Pari Pieter Abbeel Lerrel Pinto SSL 27 14 0 19 Jul 2021
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 131 928 0 07 Jul 2017