| Pink noise is all you need: Colored noise exploration in deep reinforcement learning O Eberhard, J Hollenstein, C Pinneri, G Martius The Eleventh International Conference on Learning Representations, 2022 | 33 | 2022 |
| Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance J Hollenstein, S Auddy, M Saveriano, E Renaudo, J Piater Transactions on Machine Learning Research, 2022 | 20 | 2022 |
| Continual learning from demonstration of robotics skills S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater Robotics and Autonomous Systems 165, 104427, 2023 | 17 | 2023 |
| A Visual Intelligence Scheme for Hard Drive Disassembly in Automated Recycling Routines. E Yildiz, T Brinker, E Renaudo, JJ Hollenstein, S Haller-Seeber, JH Piater, ... ROBOVIS, 17-27, 2020 | 9 | 2020 |
| Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater arXiv preprint arXiv:2311.03600, 2023 | 5 | 2023 |
| Hypernetwork-ppo for continual reinforcement learning P Schöpf, S Auddy, J Hollenstein, A Rodriguez-Sanchez Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 5 | 2022 |
| Improving Exploration of Deep Reinforcement Learning using Planning for Policy Search JJ Hollenstein, E Renaudo, J Piater | 3 | 2019 |
| Visual Control of Hidden-Semi-Markov-Model based Acoustic Speech Synthesis J Hollenstein, ichael Pucher, D Schabus Auditory-Visual Speech Processing (AVSP) 2013, 2013 | 3 | 2013 |
| How does the type of exploration-noise affect returns and exploration on Reinforcement Learning benchmarks? J Hollenstein, M Saveriano, S Auddy, E Renaudo, J Piater Austrian Robotics Workshop, 22-26, 2021 | 2 | 2021 |
| How do Offline Measures for Exploration in Reinforcement Learning behave? JJ Hollenstein, S Auddy, M Saveriano, E Renaudo, J Piater arXiv preprint arXiv:2010.15533, 2020 | 2 | 2020 |
| Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling J Hollenstein, G Martius, J Piater Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12466 …, 2024 | 1 | 2024 |
| Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search JJ Hollenstein, E Renaudo, M Saveriano, J Piater arXiv preprint arXiv:2010.12974, 2020 | 1 | 2020 |
| How Does Explicit Exploration Influence Deep Reinforcement Learning JJ Hollenstein, E Renaudo, S Matteo, J Piater Joint Austrian Computer Vision and Robotics Workshop, 29-30, 2020 | 1 | 2020 |
| Evaluating Planning for Policy Search JJ Hollenstein, J Piater 1st Workshop on Workshop on Closing the Reality Gap in Sim2real Transfer for …, 2019 | 1 | 2019 |
| Unsupervised Learning of Effective Actions in Robotics M Zaric, J Hollenstein, J Piater, E Renaudo arXiv preprint arXiv:2404.02728, 2024 | | 2024 |
| Differentiable Forward Kinematics for TensorFlow 2 L Mölschl, JJ Hollenstein, J Piater arXiv preprint arXiv:2301.09954, 2023 | | 2023 |
| An Extended Visual Intelligence Scheme for Disassembly in Automated Recycling Routines E Yildiz, E Renaudo, J Hollenstein, J Piater, F Wörgötter International Conference on Robotics, Computer Vision and Intelligent …, 2020 | | 2020 |
| Pink Noise LQR: How does Colored Noise affect the Optimal Policy in RL? J Hollenstein, M Zaric, S Tosatto, J Piater ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0 | | |
| Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning O Eberhard, J Hollenstein, C Pinneri, G Martius Deep Reinforcement Learning Workshop NeurIPS 2022, 0 | | |
| Can Expressive Posterior Approximations Improve Variational Continual Learning? S Auddy, JHMSA Rodrıguez, SJ Piater | | |
Justus PiaterProfessor of Computer Science, University of Innsbruck, Austria在 uibk.ac.at 的电子邮件经过验证
