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ORCIDJakob J. Hollenstein
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2020 – today
- 2024
[c4]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI 2024: 12466-12472- [i8]Marko Zaric, Jakob J. Hollenstein, Justus H. Piater, Erwan Renaudo:
Unsupervised Learning of Effective Actions in Robotics. CoRR abs/2404.02728 (2024) - 2023
- [j2]Sayantan Auddy
, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165: 104427 (2023) - [c3]Onno Eberhard, Jakob J. Hollenstein, Cristina Pinneri, Georg Martius:
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. ICLR 2023 - [i7]Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater:
Differentiable Forward Kinematics for TensorFlow 2. CoRR abs/2301.09954 (2023) - [i6]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR abs/2311.03600 (2023) - [i5]Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling. CoRR abs/2312.11091 (2023) - 2022
- [j1]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. 2022 (2022) - [i4]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. CoRR abs/2202.06843 (2022) - [i3]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR abs/2206.03787 (2022) - 2020
- [c2]Erenus Yildiz, Tobias Brinker, Erwan Renaudo, Jakob J. Hollenstein, Simon Haller-Seeber, Justus H. Piater, Florentin Wörgötter:
A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. ROBOVIS 2020: 17-27 - [i2]Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater:
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR abs/2010.12974 (2020) - [i1]Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater:
How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR abs/2010.15533 (2020)
2010 – 2019
- 2013
- [c1]Jakob J. Hollenstein, Michael Pucher, Dietmar Schabus:
Visual control of hidden-semi-Markov-model based acoustic speech synthesis. AVSP 2013: 31-36
Coauthor Index
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