Maximilian Igl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. | Zhejun Zhang, Pter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2025 | ICLR | STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. | Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Pter Karkus, Danfei Xu, Yue Wang, Marco Pavone |
| 2025 | ICRA | Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-Tuning. | Zhiyu Huang, Xinshuo Weng, Maximilian Igl, Yuxiao Chen, Yulong Cao, Boris Ivanovic, Marco Pavone, Chen Lv |
| 2023 | IROS | Hierarchical Imitation Learning for Stochastic Environments. | Maximilian Igl, Punit Shah, Paul Mougin, Sirish Srinivasan, Tarun Gupta, Brandyn White, Kyriacos Shiarlis, Shimon Whiteson |
| 2022 | CoRL | Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. | Angad Singh, Omar Makhlouf, Maximilian Igl, Joo V. Messias, Arnaud Doucet, Shimon Whiteson |
| 2022 | ICML | Communicating via Markov Decision Processes. | Samuel Sokota, Christian A. Schrder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster |
| 2022 | ICRA | Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. | Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson |
| 2021 | ICLR | Transient Non-stationarity and Generalisation in Deep Reinforcement Learning. | Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson |
| 2021 | ICLR | My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. | Vitaly Kurin, Maximilian Igl, Tim Rocktschel, Wendelin Boehmer, Shimon Whiteson |
| 2021 | ICML | Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. | Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson |
| 2020 | ICLR | VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. | Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson |
| 2020 | UAI | Multitask Soft Option Learning. | Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson |
| 2018 | ICLR | TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. | Gregory Farquhar, Tim Rocktschel, Maximilian Igl, Shimon Whiteson |
| 2018 | ICLR | Auto-Encoding Sequential Monte Carlo. | Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood |
| 2018 | ICML | Deep Variational Reinforcement Learning for POMDPs. | Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson |
| 2018 | ICML | Tighter Variational Bounds are Not Necessarily Better. | Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh |