Artikel dengan mandat akses publik - Jonas RothfussPelajari lebih lanjut
Tersedia di suatu tempat: 14
Model-based reinforcement learning via meta-policy optimization
I Clavera, J Rothfuss, J Schulman, Y Fujita, T Asfour, P Abbeel
Conference on Robot Learning (CoRL) 2018, 2018
Mandat: Banking Foundation "la Caixa", European Commission
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
J Rothfuss, V Fortuin, M Josifoski, A Krause
International Conference on Machine Learning (ICML) 2021, 2021
Mandat: European Commission
DiBS: Differentiable Bayesian Structure Learning
L Lorch, J Rothfuss, B Schölkopf, A Krause
Advances in Neural Information Processing Systems (NeurIPS), 2021
Mandat: Swiss National Science Foundation, European Commission, Federal Ministry of …
Amortized Inference for Causal Structure Learning
L Lorch, S Sussex, J Rothfuss, A Krause, B Schölkopf
Advances in Neural Information Processing (NeurIPS), 2022
Mandat: Swiss National Science Foundation, European Commission
Meta-Learning Reliable Priors in the Function Space
J Rothfuss, D Heyn, J Chen, A Krause
Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
Mandat: Swiss National Science Foundation, UK Engineering and Physical Sciences …
Deep episodic memory: Encoding, recalling, and predicting episodic experiences for robot action execution
J Rothfuss, F Ferreira, EE Aksoy, Y Zhou, T Asfour
IEEE Robotics and Automation Letters 3 (4), 4007-4014, 2018
Mandat: German Research Foundation, European Commission
Meta-Learning Priors for Safe Bayesian Optimization
J Rothfuss, C Koenig, A Rupenyan, A Krause
Conference on Robot Learning (CoRL) 2022, 2022
Mandat: Swiss National Science Foundation, European Commission
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
A Hägele, J Rothfuss, L Lorch, VR Somnath, B Schölkopf, A Krause
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Mandat: Swiss National Science Foundation, European Commission
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
J Rothfuss, M Josifoski, V Fortuin, A Krause
Journal of Machine Learning Research (JMLR), 2023
Mandat: Swiss National Science Foundation, European Commission
Instance-dependent generalization bounds via optimal transport
S Hou, P Kassraie, A Kratsios, J Rothfuss, A Krause
Journal of Machine Learning Reasearch (JMLR), 2023
Mandat: Natural Sciences and Engineering Research Council of Canada, European Commission
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
J Rothfuss, B Sukhija, T Birchler, P Kassraie, A Krause
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Mandat: Swiss National Science Foundation, European Commission
Meta-Learning Hypothesis Spaces for Sequential Decision-making
P Kassraie, J Rothfuss, A Krause
International Conference on Machine Learning (ICML), 2022
Mandat: European Commission
Lifelong Bandit Optimization: No Prior and No Regret
F Schur, P Kassraie, J Rothfuss, A Krause
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Mandat: European Commission
Bridging the Sim-to-Real Gap with Bayesian Inference
J Rothfuss, B Sukhija, L Treven, F Dörfler, S Coros, A Krause
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
Mandat: European Commission
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