Volodymyr Mnih

1. Playing Atari with Deep Reinforcement Learning
   2013/12/19 by Volodymyr Mnih, Koray Kavukcuoglu, Mnih, Volodymyr +11 · 5 voices · 322 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #Reinforcement Learning in Robotics #cs.LG
2. Asynchronous Methods for Deep Reinforcement Learning
   2016/02/04 by Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza +5 · 4 voices · 156 citations
   #cs.LG
3. Reinforcement Learning with Unsupervised Auxiliary Tasks
   2016/11/16 by Max Jaderberg, Jaderberg, Max, Volodymyr Mnih +12 · 3 voices · 63 citations
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Data Stream Mining Techniques
4. Recurrent Models of Visual Attention
   2014/06/24 by Volodymyr Mnih, Nicolas Heess, Mnih, Volodymyr +5 · 1 voice · 12 citations
   Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
5. Policy Distillation
   2015/11/19 by Andrei A. Rusu, Rusu, Andrei A., Sergio Gómez Colmenarejo +15 · 38 citations
   Computer Science · Engineering · #Neural Networks and Reservoir Computing #CCD and CMOS Imaging Sensors #Visual Attention and Saliency Detection
6. Using Fast Weights to Attend to the Recent Past
   2016/10/20 by Jimmy Ba, Geoffrey E. Hinton, Ba, Jimmy +7 · 17 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
7. In-context Reinforcement Learning with Algorithm Distillation
   2022/10/25 by Michael Laskin, Luyu Wang, Laskin, Michael +25 · 18 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
8. Fast Task Inference with Variational Intrinsic Successor Features
   2019/06/12 by Steven Hansen, Will Dabney, Hansen, Steven +9 · 12 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
9. The Uncertainty Bellman Equation and Exploration
   2017/09/15 by Brendan O’Donoghue, Ian Osband, O'Donoghue, Brendan +5 · 10 citations
   Decision Sciences · Computer Science · Engineering · #Simulation Techniques and Applications #Reinforcement Learning in Robotics #Reservoir Engineering and Simulation Methods
10. Strategic Attentive Writer for Learning Macro-Actions
    2016/06/15 by Alexander -, Alexander, Volodymyr Mnih +12 · 9 citations
    Computer Science · Psychology · #Artificial Intelligence in Games #Teaching and Learning Programming #Educational Games and Gamification
11. Unsupervised Learning of Object Keypoints for Perception and Control
    2019/06/19 by Tejas Kulkarni, Kulkarni, Tejas, Ankush Gupta +11 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
12. ElasticTok: Adaptive Tokenization for Image and Video
    2024/10/10 by Wilson Yan, Volodymyr Mnih, Yan, Wilson +9 · 1 voice · 7 citations
    Computer Science · #cs.LG
13. Conditional Restricted Boltzmann Machines for Structured Output\n Prediction
    2012/02/14 by Volodymyr Mnih, Mnih, Volodymyr, Hugo Larochelle +3 · 2 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
14. Q-Learning in enormous action spaces via amortized approximate maximization
    2020/01/22 by Tom Van de Wiele, David Warde-Farley, Van de Wiele, Tom +5 · 1 voice · 1 citation
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
15. LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
    2024/12/02 by Anian Ruoss, Fabio Pardo, Ruoss, Anian +9 · 1 voice · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Multimodal Machine Learning Applications #cs.AI #cs.LG
16. Relative Variational Intrinsic Control
    2020/12/14 by Kate Baumli, David Warde-Farley, Baumli, Kate +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
17. SIMA 2: A Generalist Embodied Agent for Virtual Worlds
    2025/12/04 by Adrian Bolton, SIMA team, Bolton, Adrian +135 · 3 voices · 1 citation
    Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO