Maximilian Igl

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

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl et al. · arXiv (Cornell University) · 2019 · 62 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

Maximilian Igl, Kamil Ciosek, Yingzhen Li et al. · arXiv (Cornell University) · 2019 · 57 citations · Full text

Artificial Intelligence, Regularization Technique, Engineering +17

Auto-Encoding Sequential Monte Carlo

Tuan Anh Lê, Maximilian Igl, Tom Rainforth et al. · Oxford University Research Archive (ORA) (University of Oxford) · 2018 · 54 citations · Full text

Artificial Intelligence, Structured Prediction, Engineering +17

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation

Maximilian Igl, Dae Woo Kim, Alex Kuefler et al. · 2022 International Conference on Robotics and Automation (ICRA) · 2022 · 43 citations

Artificial Intelligence, Agent-based System, Reward Hacking +15

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

Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl et al. · arXiv (Cornell University) · 2020 · 42 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19