Jakob J. Hollenstein

17 papers A* 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. AAAI Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2025	J	`jnl`	ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning. Internet Things Laura Acosta-Garcia, Juan Aznar-Poveda, Antonio-Javier García-Sánchez, Jakob J. Hollenstein, Joan García-Haro, Thomas Fahringer
2025	J	`jnl`	Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. CoRR Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2024	A*	`conf`	Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. AAAI Jakob J. Hollenstein, Georg Martius, Justus H. Piater
2024	J	`jnl`	Unsupervised Learning of Effective Actions in Robotics. CoRR Marko Zaric, Jakob J. Hollenstein, Justus H. Piater, Erwan Renaudo
2023	J	`jnl`	Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling. CoRR Jakob J. Hollenstein, Georg Martius, Justus H. Piater
2023	J	`jnl`	Continual learning from demonstration of robotics skills. Robotics Auton. Syst. Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2023	J	`jnl`	Differentiable Forward Kinematics for TensorFlow 2. CoRR Lukas Mölschl, Jakob J. Hollenstein, Justus H. Piater
2023	A*	`conf`	Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. ICLR Onno Eberhard, Jakob J. Hollenstein, Cristina Pinneri, Georg Martius
2023	J	`jnl`	Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2022	J	`jnl`	Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. CoRR Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2022	J	`jnl`	Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. Trans. Mach. Learn. Res. Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2022	J	`jnl`	Continual Learning from Demonstration of Robotic Skills. CoRR Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2020	—	`conf`	A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. ROBOVIS Erenus Yildiz, Tobias Brinker, Erwan Renaudo, Jakob J. Hollenstein, Simon Haller-Seeber, Justus H. Piater, Florentin Wörgötter
2020	J	`jnl`	How do Offline Measures for Exploration in Reinforcement Learning behave? CoRR Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus H. Piater
2020	J	`jnl`	Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. CoRR Jakob J. Hollenstein, Erwan Renaudo, Matteo Saveriano, Justus H. Piater
2013	—	`conf`	Visual control of hidden-semi-Markov-model based acoustic speech synthesis. AVSP Jakob J. Hollenstein, Michael Pucher, Dietmar Schabus