متابعة
Daniel J. Mankowitz
Daniel J. Mankowitz
Google Deepmind
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Gemini: a family of highly capable multimodal models‏
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...‏
arXiv preprint arXiv:2312.11805, 2023‏
24882023
Competition-level code generation with alphacode‏
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...‏
Science 378 (6624), 1092-1097, 2022‏
1398*2022
Challenges of Real-World Reinforcement Learning‏
G Dulac-Arnold, DJ Mankowitz, T Hester‏
arXiv:1904.12901, 2019‏
7432019
Reward constrained policy optimization‏
C Tessler, DJ Mankowitz, S Mannor‏
arXiv preprint arXiv:1805.11074, 2018‏
6302018
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis‏
G Dulac-Arnold, N Levine, DJ Mankowitz, J Li, C Paduraru, S Gowal, ...‏
Machine Learning 110 (9), 2419-2468, 2021‏
5782021
A deep hierarchical approach to lifelong learning in minecraft‏
C Tessler, S Givony, T Zahavy, DJ Mankowitz, S Mannor‏
In Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2017‏
4782017
Learn what not to learn: Action elimination with deep reinforcement learning‏
T Zahavy, M Haroush, N Merlis, DJ Mankowitz, S Mannor‏
Advances in neural information processing systems 31, 2018‏
2632018
Rl unplugged: A suite of benchmarks for offline reinforcement learning‏
C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ...‏
Advances in Neural Information Processing Systems 33, 7248-7259, 2020‏
225*2020
Transfer in deep reinforcement learning using successor features and generalised policy improvement‏
A Barreto, D Borsa, J Quan, T Schaul, D Silver, M Hessel, D Mankowitz, ...‏
International Conference on Machine Learning, 501-510, 2018‏
2102018
Faster sorting algorithms discovered using deep reinforcement learning‏
DJ Mankowitz, A Michi, A Zhernov, M Gelmi, M Selvi, C Paduraru, ...‏
Nature 618 (7964), 257-263, 2023‏
2002023
An empirical investigation of the challenges of real-world reinforcement learning‏
G Dulac-Arnold, N Levine, DJ Mankowitz, J Li, C Paduraru, S Gowal, ...‏
arXiv preprint arXiv:2003.11881, 2020‏
1562020
Universal successor features approximators‏
D Borsa, A Barreto, J Quan, D Mankowitz, R Munos, H Van Hasselt, ...‏
arXiv preprint arXiv:1812.07626, 2018‏
1512018
Robust reinforcement learning for continuous control with model misspecification‏
DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ...‏
arXiv preprint arXiv:1906.07516, 2019‏
1332019
Nash learning from human feedback‏
R Munos, M Valko, D Calandriello, MG Azar, M Rowland, ZD Guo, Y Tang, ...‏
arXiv preprint arXiv:2312.00886, 2023‏
942023
Adaptive Skills Adaptive Partitions (ASAP)‏
DJ Mankowitz, TA Mann, S Mannor‏
Neural Information Processing Systems (NIPS), Barcelona, Spain, 2016‏
732016
Soft-robust actor-critic policy-gradient‏
E Derman, DJ Mankowitz, TA Mann, S Mannor‏
arXiv preprint arXiv:1803.04848, 2018‏
692018
A bayesian approach to robust reinforcement learning‏
E Derman, D Mankowitz, T Mann, S Mannor‏
Uncertainty in Artificial Intelligence, 648-658, 2020‏
592020
Coptidice: Offline constrained reinforcement learning via stationary distribution correction estimation‏
J Lee, C Paduraru, DJ Mankowitz, N Heess, D Precup, KE Kim, A Guez‏
arXiv preprint arXiv:2204.08957, 2022‏
562022
Unicorn: Continual learning with a universal, off-policy agent‏
DJ Mankowitz, A Žídek, A Barreto, D Horgan, M Hessel, J Quan, J Oh, ...‏
arXiv preprint arXiv:1802.08294, 2018‏
532018
Shallow updates for deep reinforcement learning‏
N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor‏
Advances in Neural Information Processing Systems 30, 2017‏
512017
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20