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← Authors

Maximilian Igl

16 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (30)
πŸ—ΊοΈ Taxonomy Completionist (30) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown 🀝 Dynamic Duo (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (16) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (5)

Conferences

ICLR (6) ICML (4) NIPS (2) CORL (1) CVPR (1) JMLR (1) UAI (1)

Top co-authors

Shimon Whiteson (11) Katja Hofmann (4) Tuan Anh Le (3) Luisa Zintgraf (3) Frank Wood (3) Wendelin Boehmer (3) Sebastian Schulze (2) Peter Karkus (2) Cong Lu (2) Boris Ivanovic (2)

Keywords

generative model (2) evidence lower bound (2) variational inference (2) approximate inference (1) behavior cloning (1) transfer learning (1) domain generalization (1) information bottleneck (1) multitask learning (1) hierarchical reinforcement learning (1) trajectory tracking (1) markov decision process (1) covariate shift (1) partially observable markov decision process (1) continuous control (1) particle filtering (1) exploration exploitation tradeoff (1) bayes-optimal policy (1) locomotion control (1) multi-task learning (1)

Papers

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025 STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes ICLR 2025 Communicating via Markov Decision Processes ICML 2022 Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving CORL 2022 Transient Non-stationarity and Generalisation in Deep Reinforcement Learning ICLR 2021 My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control ICLR 2021 Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021 Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing NIPS 2021 Multitask Soft Option Learning UAI 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Deep Variational Reinforcement Learning for POMDPs ICML 2018 Auto-Encoding Sequential Monte Carlo ICLR 2018 TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning ICLR 2018