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Daniel Palenicek
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Smarts: An open-source scalable multi-agent rl training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on robot learning, 264-285, 2021
1912021
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
A Bhatt*, D Palenicek*, B Belousov, M Argus, A Amiranashvili, T Brox, ...
International Conference on Learning Representations (ICLR), 2024
45*2024
Samba: Safe model-based & active reinforcement learning
D Palenicek*, AI Cowen-Rivers*, V Moens*, MA Abdullah, A Sootla, ...
Machine Learning 111 (1), 173-203, 2022
42*2022
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
252021
A survey on constraining policy updates using the KL divergence
D Palenicek
Reinforcement Learning Algorithms: Analysis and Applications, 49-57, 2021
32021
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
D Palenicek, M Lutter, J Carvalho, J Peters
International Conference on Learning Representations (ICLR), 2023
2*2023
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
CE Mower, Y Wan, H Yu, A Grosnit, J Gonzalez-Billandon, M Zimmer, ...
arXiv preprint arXiv:2406.19741, 2024
12024
Learning Tactile Insertion in the Real World
D Palenicek*, T Gruner*, T Schneider*, A Böhm*, J Lenz*, I Pfenning*, ...
arXiv preprint arXiv:2405.00383, 2024
2024
Iterated -Network: Beyond the One-Step Bellman Operator
T Vincent, D Palenicek, B Belousov, J Peters, C D'Eramo
arXiv preprint arXiv:2403.02107, 2024
2024
Pseudo-Likelihood Inference
T Gruner, B Belousov, F Muratore, D Palenicek, J Peters
Advances in Neural Information Processing Systems (NeurIPS), 2023
2023
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