Daniel Palenicek
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. | Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann |
| 2025 | IROS | Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. | Nico Bohlinger, Jonathan Kinzel, Daniel Palenicek, Lukasz Antczak, Jan Peters |
| 2024 | ICLR | CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. | Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters |
| 2023 | ICLR | Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. | Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters |
| 2020 | CoRL | SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. | Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang |