Vector_Rewards_NIPS_Workshop_cr.pdf
... , Daan Wierstra, Shane Legg, and Demis Hassabis. Human-level control through deep rein- forcement ... , Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Sil- ver, and Daan Wierstra ... , Daan Wierstra, Shane Legg, and Demis Hassabis. Human-level control through deep rein- forcement ... , Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Sil- ver, and Daan Wierstra ...
https://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/novati201...
... . Lillicrap, J. J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra. Continuous ... preprint arXiv:1707.06347, 2017. D. Silver, G. Lever, N. Heess, T. Degris, D. Wierstra, and M. Ried- miller ... . Lillicrap, J. J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra. Continuous ... preprint arXiv:1707.06347, 2017. D. Silver, G. Lever, N. Heess, T. Degris, D. Wierstra, and M. Ried- miller ...
Exploration-Exploitation Trade-off in Deep Reinforcement Learning
Exploration-Exploitation Trade-off in Deep Reinforcement Learning, https://pub.tik.ee.ethz.ch/students/2018-FS/BA-2018-15.pdf, Exploration-Exploitation Trade-off in Deep Reinforcement Learning Dis...
Deep Reinforcement Learning Applied to Byzantine Agreement
... . Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. A. Riedmiller, “Playing atari with deep ... . Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. A. Riedmiller, “Playing atari with deep ...
NeurIPS-2020-robust-disentanglement-of-a-few-factors-at-a-time-usin...
... arXiv:1312.6114, 2013. [5] Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. Stochastic ... arXiv:1312.6114, 2013. [5] Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. Stochastic ...
121.pdf
... Daan Wierstra. Weight uncertainty in neural networks. In Proceedings of the 32nd International ... Daan Wierstra. Weight uncertainty in neural networks. In Proceedings of the 32nd International ...
Kernelized Synaptic Weight Matrices
... , M., Besse, F., Pfau, D., Jaderberg, M., Lanctot, M., and Wierstra, D. Convolution by evolution ... , M., Besse, F., Pfau, D., Jaderberg, M., Lanctot, M., and Wierstra, D. Convolution by evolution ...
sub_582.pdf
... ., Wierstra, D., Legg, S., Hass- abis, D.: Human-level control through deep reinforcement learning. Nature ... ., Wierstra, D., Legg, S., Hass- abis, D.: Human-level control through deep reinforcement learning. Nature ...
http://rpg.ifi.uzh.ch./docs/IROS20_Loquercio.pdf
... . Vinyals, D. Rosenbaum, N. Rabi- nowitz, H. King, C. Hillier, M. Botvinick, D. Wierstra, K. Kavukcuoglu ... . Vinyals, D. Rosenbaum, N. Rabi- nowitz, H. King, C. Hillier, M. Botvinick, D. Wierstra, K. Kavukcuoglu ...
http://rpg.ifi.uzh.ch./docs/RAL20_Loquercio.pdf
... , K. Kavukcuoglu, and D. Wierstra, “Weight uncertainty in neural networks,” in International ... , K. Kavukcuoglu, and D. Wierstra, “Weight uncertainty in neural networks,” in International ...
