Volodymyr Mnih

17 papers · 2010–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Grand Slam 🔬 Deep Specialist (10) 🧭 Keyword Pioneer 🧬 Topic Evolution 🚀 Conference Pioneer 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (90) 📈 Trend Setter 💎 Century Club · Bronze

Venues

NeurIPS (8) ICLR (6) ICML (2) AAAI (1)

Top co-authors

David Warde-Farley (5) Alex Graves (4) Steven Hansen (4) Kate Baumli (3) Koray Kavukcuoglu (3) Catalin Ionescu (3) David Silver (2) Matteo Hessel (2) Steven Stenberg Hansen (2) Hao Liu (2)

Research topics

Artificial Intelligence (10) Reinforcement Learning (10) Methods (10) Deep Learning (9) Machine Learning (9) Core AI (9) Learning Types · Deep Learning (7) Core Methods (6) Learning Types · Machine Learning (4) Computer Vision (3) Applications (3) Architectures (3) Analysis (2) Application Areas (2) Learning Paradigms (2)

Keywords

reinforcement learning (4) deep reinforcement learning (3) neural network (3) representation learning (2) attention mechanism (2) variational inference (2) skill learning (2) generative model (2) unsupervised learning (2) internal representation (2) intrinsic motivation (2) in-context learning (2) recurrent neural network (2) skill discovery (2) deep learning (1) object tracking (1) image generation (1) few-shot learning (1) epistemic uncertainty (1) reward function (1)

Papers

ElasticTok: Adaptive Tokenization for Image and Video ICLR 2025 LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations ICML 2025 In-context Reinforcement Learning with Algorithm Distillation ICLR 2023 Learning more skills through optimistic exploration ICLR 2022 Palm up: Playing in the Latent Manifold for Unsupervised Pretraining NeurIPS 2022 Entropic Desired Dynamics for Intrinsic Control NeurIPS 2021 Relative Variational Intrinsic Control AAAI 2021 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 Unsupervised Control Through Non-Parametric Discriminative Rewards ICLR 2019 Unsupervised Learning of Object Keypoints for Perception and Control NeurIPS 2019 Noisy Networks For Exploration ICLR 2018 Asynchronous Methods for Deep Reinforcement Learning ICML 2016 Learning values across many orders of magnitude NeurIPS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Using Fast Weights to Attend to the Recent Past NeurIPS 2016 Recurrent Models of Visual Attention NeurIPS 2014 Generating more realistic images using gated MRF's NeurIPS 2010