Mnih, Volodymyr

Human-level control through deep reinforcement learning

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 30,357

Playing Atari with Deep Reinforcement Learning

Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9,471

Asynchronous Methods for Deep Reinforcement Learning

Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T. P., Harley, T., Silver, D., & Kavukcuoglu, K. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 7,132

Multiple Object Recognition with Visual Attention

Ba, J., Mnih, V., & Kavukcuoglu, K. (2014) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 808

Policy Distillation

Rusu, A. A., Colmenarejo, S. G., Gulcehre, C., Desjardins, G., Kirkpatrick, J., Pascanu, R., Mnih, V., Kavukcuoglu, K., & Hadsell, R. (2015) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 270

On deep generative models with applications to recognition

Ranzato, M., Susskind, J., Mnih, V., & Hinton, G. (2011) · CVPR 2011

Face and Expression RecognitionAdvanced Neural Network Applications

Cited by 237

Combining policy gradient and Q-learning

O'Donoghue, B., Munos, R., Kavukcuoglu, K., & Mnih, V. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 90

In-context Reinforcement Learning with Algorithm Distillation

Laskin, M., Wang, L., Oh, J., Parisotto, E., Spencer, S., Steigerwald, R., Strouse, D., Hansen, S., Filos, A., Brooks, E., et al. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 14

ElasticTok: Adaptive Tokenization for Image and Video

Yan, W., Mnih, V., Faust, A., Zaharia, M., Abbeel, P., & Liu, H. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations

Ruoss, A., Pardo, F., Chan, H., Li, B., Mnih, V., & Genewein, T. (2024) · arXiv

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 0