Onno Eberhard

According to our database, Onno Eberhard authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning.

Yike Zhao, Onno Eberhard, Malek Khammassi, Ali H. Sayed, Michael Muehlebach

CoRR, May, 2026

Commit to the Bit: Reactive Reinforcement Learning Done Right.

Onno Eberhard, Claire Vernade, Michael Muehlebach

CoRR, May, 2026

Middle-mile logistics through the lens of goal-conditioned reinforcement learning.

Onno Eberhard, Thibaut Cuvelier, Michal Valko, Bruno De Backer

CoRR, May, 2026

2025

A Pontryagin Perspective on Reinforcement Learning.

Onno Eberhard, Claire Vernade, Michael Muehlebach

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Partially Observable Reinforcement Learning with Memory Traces.

Onno Eberhard, Michael Muehlebach, Claire Vernade

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning.

Onno Eberhard, Jakob J. Hollenstein, Cristina Pinneri, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Effects of Layer Freezing when Transferring DeepSpeech to New Languages.

Onno Eberhard, Torsten Zesch

CoRR, 2021