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← Authors

Danijar Hafner

23 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (6)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (6) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (82) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (9)

Conferences

NIPS (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)

Keywords

model-based reinforcement learning (7) world model (6) variational inference (4) video prediction (3) latent dynamics (3) transfer learning (2) zero-shot learning (2) visual control (2) continuous control (2) reinforcement learning (2) deep reinforcement learning (2) bayesian neural network (2) sample efficiency (1) robotic manipulation (1) sim-to-real transfer (1) active learning (1) online learning (1) self-supervised learning (1) few-shot learning (1) video generation (1)

Papers

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