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Danijar Hafner

23 papers · 2017–2025 · 6 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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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (8) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (104)

Venues

NeurIPS (9) ICLR (6) ICML (4) CoRL (2) RSS (1) UAI (1)

Top co-authors

Pieter Abbeel (8) James Davidson (3) Jimmy Ba (3) Timothy Lillicrap (3) Oleh Rybkin (2) Stephen James (2) Mohammad Norouzi (2) Ian Fischer (2) Honglak Lee (2) Kostas Daniilidis (2)

Research topics

Machine Learning (15) Artificial Intelligence (13) Reinforcement Learning (13) Methods (11) Deep Learning (10) Applications (10) Core AI (8) Learning Types Β· Machine Learning (8) Models (6) Optimization & Theory (5) Architectures (4) Core Methods (4) Computer Vision (3) Learning Paradigms (3) Learning Types Β· Deep Learning (3)

Keywords

model-based reinforcement learning (8) world model (8) reinforcement learning (4) variational inference (4) visual control (3) video prediction (3) latent dynamics (3) continuous control (3) sample efficiency (2) zero-shot learning (2) offline dataset (2) intrinsic motivation (2) generative model (2) deep reinforcement learning (2) transfer learning (2) latent space (2) bayesian neural network (2) robotic manipulation (1) sim-to-real transfer (1) online learning (1)

Papers

One Step Diffusion via Shortcut Models ICLR 2025 Learning to Model the World With Language ICML 2024 Evaluating Long-Term Memory in 3D Mazes ICLR 2023 Temporally Consistent Transformers for Video Generation ICML 2023 Video Prediction Models as Rewards for Reinforcement Learning NeurIPS 2023 Benchmarking the Spectrum of Agent Capabilities ICLR 2022 DayDreamer: World Models for Physical Robot Learning CoRL 2022 Deep Hierarchical Planning from Pixels NeurIPS 2022 Learning Robust Dynamics through Variational Sparse Gating NeurIPS 2022 Masked World Models for Visual Control CoRL 2022 Clockwork Variational Autoencoders NeurIPS 2021 Discovering and Achieving Goals via World Models NeurIPS 2021 Information is Power: Intrinsic Control via Information Capture NeurIPS 2021 Latent Skill Planning for Exploration and Transfer ICLR 2021 Mastering Atari with Discrete World Models ICLR 2021 Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020 Planning to Explore via Self-Supervised World Models ICML 2020 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Learning Latent Dynamics for Planning from Pixels ICML 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018 Learning Hierarchical Information Flow with Recurrent Neural Modules NeurIPS 2017