Visual control of hidden-semi-Markov-model based acoustic speech synthesis. - Jakob J. Hollenstein; Michael Pucher; Dietmar Schabus (AVSP, 2013)

A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. - Erenus Yildiz; Tobias Brinker; Erwan Renaudo; Jakob J. Hollenstein; Simon Haller-Seeber; Justus H. Piater; Florentin Wörgötter (ROBOVIS, 2020)

Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search. - Jakob J. Hollenstein; Erwan Renaudo; Matteo Saveriano; Justus H. Piater (CoRR, 2020)

How do Offline Measures for Exploration in Reinforcement Learning behave? - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (CoRR, 2020)

Continual Learning from Demonstration of Robotic Skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2022)

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance. - Jakob J. Hollenstein; Sayantan Auddy; Matteo Saveriano; Erwan Renaudo; Justus H. Piater (Trans. Mach. Learn. Res., 2022)

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. - Onno Eberhard; Jakob J. Hollenstein; Cristina Pinneri; Georg Martius (ICLR, 2023)

Differentiable Forward Kinematics for TensorFlow 2. - Lukas Mölschl; Jakob J. Hollenstein; Justus H. Piater (CoRR, 2023)

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2023)

Continual learning from demonstration of robotics skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Robotics Auton. Syst., 2023)

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. - Jakob J. Hollenstein; Georg Martius; Justus H. Piater (AAAI, 2024)

Unsupervised Learning of Effective Actions in Robotics. - Marko Zaric; Jakob J. Hollenstein; Justus H. Piater; Erwan Renaudo (CoRR, 2024)