팔로우
Christoph Dann
Christoph Dann
Research Scientist, Google
google.com의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Policy evaluation with temporal differences: a survey and comparison.
C Dann, G Neumann, J Peters
Journal of Machine Learning Research 15 (1), 809-883, 2014
2162014
Sample complexity of episodic fixed-horizon reinforcement learning
C Dann, E Brunskill
Advances in Neural Information Processing Systems, 2818-2826, 2015
1972015
Unifying PAC and regret: Uniform PAC bounds for episodic reinforcement learning
C Dann, T Lattimore, E Brunskill
Advances in Neural Information Processing Systems, 5717-5727, 2017
1922017
Policy certificates: Towards accountable reinforcement learning
C Dann, L Li, W Wei, E Brunskill
International Conference on Machine Learning, 1507-1516, 2019
1052019
Scaling up behavioral science interventions in online education
RF Kizilcec, J Reich, M Yeomans, C Dann, E Brunskill, G Lopez, S Turkay, ...
Proceedings of the National Academy of Sciences, 2020
912020
Thoughts on massively scalable Gaussian processes
AG Wilson, C Dann, H Nickisch
arXiv preprint arXiv:1511.01870, 2015
902015
RLPy: a value-function-based reinforcement learning framework for education and research.
A Geramifard, C Dann, RH Klein, W Dabney, JP How
Journal of Machine Learning Research 16, 1573-1578, 2015
82*2015
On Oracle-Efficient PAC RL with Rich Observations
C Dann, N Jiang, A Krishnamurthy, A Agarwal, J Langford, RE Schapire
Advances in Neural Information Processing Systems, 1429-1439, 2018
782018
The human kernel
AG Wilson, C Dann, C Lucas, EP Xing
Advances in Neural Information Processing Systems, 2854-2862, 2015
622015
Being optimistic to be conservative: Quickly learning a cvar policy
R Keramati, C Dann, A Tamkin, E Brunskill
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4436-4443, 2020
352020
Bayesian time-of-flight for realtime shape, illumination and albedo
A Adam, C Dann, O Yair, S Mazor, S Nowozin
IEEE transactions on pattern analysis and machine intelligence 39 (5), 851-864, 2017
352017
Automated matching of pipeline corrosion features from in-line inspection data
MR Dann, C Dann
Reliability Engineering & System Safety 162, 40-50, 2017
332017
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
A Pacchiano, C Dann, C Gentile, P Bartlett
arXiv preprint arXiv:2012.13045, 2020
262020
Energetic natural gradient descent
P Thomas, BC Silva, C Dann, E Brunskill
International Conference on Machine Learning, 2887-2895, 2016
162016
Dynamic balancing for model selection in bandits and rl
A Cutkosky, C Dann, A Das, C Gentile, A Pacchiano, M Purohit
International Conference on Machine Learning, 2276-2285, 2021
152021
Pottics–the potts topic model for semantic image segmentation
C Dann, P Gehler, S Roth, S Nowozin
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012
152012
Distributionally-aware exploration for cvar bandits
A Tamkin, R Keramati, C Dann, E Brunskill
NeurIPS 2019 Workshop on Safety and Robustness on Decision Making, 2019
142019
Beyond value-function gaps: Improved instance-dependent regret bounds for episodic reinforcement learning
C Dann, TV Marinov, M Mohri, J Zimmert
Advances in Neural Information Processing Systems 34, 2021
112021
Off-policy learning combined with automatic feature expansion for solving large MDPs
A Geramifard, C Dann, JP How
Proc. 1st Multidisciplinary Conf. on Reinforcement Learning and Decision …, 2013
92013
A Model Selection Approach for Corruption Robust Reinforcement Learning
CY Wei, C Dann, J Zimmert
International Conference on Algorithmic Learning Theory, 2022
82022
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20