Hierarchical Imitation Learning for Stochastic Environments
Igl, Maximilian, Shah, Punit, Mougin, Paul, Srinivasan, Sirish, Gupta, Tarun, White, Brandyn, Shiarlis, Kyriacos, Whiteson, Shimon
Published in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01.10.2023)
Published in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01.10.2023)
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Conference Proceeding
Hierarchical Imitation Learning for Stochastic Environments
Igl, Maximilian, Shah, Punit, Mougin, Paul, Srinivasan, Sirish, Gupta, Tarun, White, Brandyn, Shiarlis, Kyriacos, Whiteson, Shimon
Year of Publication 25.09.2023
Year of Publication 25.09.2023
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Journal Article
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
Blake, Charlie, Kurin, Vitaly, Igl, Maximilian, Whiteson, Shimon
Published in arXiv.org (03.01.2022)
Published in arXiv.org (03.01.2022)
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Paper
Journal Article
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
Igl, Maximilian, Farquhar, Gregory, Luketina, Jelena, Boehmer, Wendelin, Whiteson, Shimon
Published in arXiv.org (22.09.2021)
Published in arXiv.org (22.09.2021)
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Paper
Journal Article
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Igl, Maximilian, Kim, Daewoo, Kuefler, Alex, Mougin, Paul, Shah, Punit, Shiarlis, Kyriacos, Anguelov, Dragomir, Palatucci, Mark, White, Brandyn, Whiteson, Shimon
Published in 2022 International Conference on Robotics and Automation (ICRA) (23.05.2022)
Published in 2022 International Conference on Robotics and Automation (ICRA) (23.05.2022)
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Conference Proceeding
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Kurin, Vitaly, Igl, Maximilian, Rocktäschel, Tim, Boehmer, Wendelin, Whiteson, Shimon
Published in arXiv.org (14.04.2021)
Published in arXiv.org (14.04.2021)
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Paper
Journal Article
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
Singh, Angad, Makhlouf, Omar, Igl, Maximilian, Messias, Joao, Doucet, Arnaud, Whiteson, Shimon
Published in arXiv.org (14.12.2022)
Published in arXiv.org (14.12.2022)
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Paper
Journal Article
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Igl, Maximilian, Kim, Daewoo, Kuefler, Alex, Mougin, Paul, Shah, Punit, Shiarlis, Kyriacos, Anguelov, Dragomir, Palatucci, Mark, White, Brandyn, Whiteson, Shimon
Published in arXiv.org (06.05.2022)
Published in arXiv.org (06.05.2022)
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Paper
Journal Article
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Zintgraf, Luisa, Feng, Leo, Lu, Cong, Igl, Maximilian, Hartikainen, Kristian, Hofmann, Katja, Whiteson, Shimon
Published in arXiv.org (09.06.2021)
Published in arXiv.org (09.06.2021)
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Paper
Journal Article
Communicating via Markov Decision Processes
Sokota, Samuel, Schroeder de Witt, Christian, Igl, Maximilian, Zintgraf, Luisa, Torr, Philip, Strohmeier, Martin, Kolter, J Zico, Whiteson, Shimon, Foerster, Jakob
Published in arXiv.org (12.06.2022)
Published in arXiv.org (12.06.2022)
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Paper
Journal Article
Multitask Soft Option Learning
Igl, Maximilian, Gambardella, Andrew, He, Jinke, Nardelli, Nantas, Siddharth, N, Böhmer, Wendelin, Whiteson, Shimon
Published in arXiv.org (21.06.2020)
Published in arXiv.org (21.06.2020)
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Paper
Journal Article
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Zintgraf, Luisa, Shiarlis, Kyriacos, Igl, Maximilian, Schulze, Sebastian, Yarin Gal, Hofmann, Katja, Whiteson, Shimon
Published in arXiv.org (27.02.2020)
Published in arXiv.org (27.02.2020)
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Paper
Journal Article
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Farquhar, Gregory, Rocktäschel, Tim, Igl, Maximilian, Whiteson, Shimon
Published in arXiv.org (08.03.2018)
Published in arXiv.org (08.03.2018)
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Paper
Journal Article
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Igl, Maximilian, Ciosek, Kamil, Li, Yingzhen, Tschiatschek, Sebastian, Zhang, Cheng, Devlin, Sam, Hofmann, Katja
Published in arXiv.org (28.10.2019)
Published in arXiv.org (28.10.2019)
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Paper
Journal Article
Generalized reinforcement learning agent
Li, Yingzhen, Igl, Maximilian, Hofmann, Katja, Devlin, Sam Michael, Ciosek, Kamil Andrzej, Tschiatschek, Sebastian, Zhang, Cheng
Year of Publication 13.12.2022
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Year of Publication 13.12.2022
Patent
Deep Variational Reinforcement Learning for POMDPs
Igl, Maximilian, Zintgraf, Luisa, Le, Tuan Anh, Wood, Frank, Whiteson, Shimon
Published in arXiv.org (06.06.2018)
Published in arXiv.org (06.06.2018)
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Paper
Journal Article
GENERALIZED REINFORCEMENT LEARNING AGENT
ZHANG, Cheng, HOFMANN, Katja, TSCHIATSCHEK, Sebastian, IGL, Maximilian, CIOSEK, Kamil Andrzej, LI, Yingzhen, DEVLIN, Sam Michael
Year of Publication 13.04.2023
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Year of Publication 13.04.2023
Patent
Tighter Variational Bounds are Not Necessarily Better
Rainforth, Tom, Kosiorek, Adam R, Le, Tuan Anh, Maddison, Chris J, Igl, Maximilian, Wood, Frank, Teh, Yee Whye
Published in arXiv.org (05.03.2019)
Published in arXiv.org (05.03.2019)
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Paper
Journal Article
Auto-Encoding Sequential Monte Carlo
Le, Tuan Anh, Igl, Maximilian, Rainforth, Tom, Jin, Tom, Wood, Frank
Published in arXiv.org (05.04.2018)
Published in arXiv.org (05.04.2018)
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Paper
Journal Article