Elie Aljalbout

According to our database, Elie Aljalbout authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guided Decoding for Robot Motion Generation and Adaption.

Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt

CoRR, 2024

2023

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

Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt

CoRR, 2023

CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces.

Elie Aljalbout, Maximilian Karl, Patrick van der Smagt

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Learning to Centralize Dual-Arm Assembly.

Marvin Alles, Elie Aljalbout

Frontiers Robotics AI, 2022

Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning.

Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space.

Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin

CoRR, 2021

Making Curiosity Explicit in Vision-based RL.

Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel

CoRR, 2021

Dual-Arm Adversarial Robot Learning.

Elie Aljalbout

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach.

Elie Aljalbout, Florian Walter, Florian Röhrbein, Alois C. Knoll

Neural Process. Lett., 2020

How to Make Deep RL Work in Practice.

Nirnai Rao, Elie Aljalbout, Axel Sauer, Sami Haddadin

CoRR, 2020

Learning Vision-based Reactive Policies for Obstacle Avoidance.

Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Tracking Holistic Object Representations.

Axel Sauer, Elie Aljalbout, Sami Haddadin

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Clustering with Deep Learning: Taxonomy and New Methods.

Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Daniel Cremers

CoRR, 2018

Associative Deep Clustering: Training a Classification Network with No Labels.

Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers

Proceedings of the Pattern Recognition - 40th German Conference, 2018