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Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation


May 06, 2022
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson

* Accepted to ICRA-2022 

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Implicit Communication as Minimum Entropy Coupling


Jul 17, 2021
Samuel Sokota, Christian Schroeder de Witt, Maximilian Igl, Luisa Zintgraf, Philip Torr, Shimon Whiteson, Jakob Foerster


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Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing


Mar 01, 2021
Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson

* 13 pages, 12 figures, submitted to ICML 2021 

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My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control


Oct 05, 2020
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson


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Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning


Oct 02, 2020
Luisa Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson


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The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning


Jun 16, 2020
Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson


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Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck


Oct 28, 2019
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann

* Published at Neurips 2019 

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VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning


Oct 18, 2019
Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson


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Multitask Soft Option Learning


Apr 01, 2019
Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson


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