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@@ -28,6 +28,18 @@ Please use this bibtex if you want to cite this repository in your publications:
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}
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```
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+List of publications & submissions using MiniGrid (please open a pull request to add missing entries):
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+- [Modeling the Long Term Future in Model-Based Reinforcement Learning](https://openreview.net/forum?id=SkgQBn0cF7) (Mila, ICLR 2019)
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+- [Practical Open-Loop Optimistic Planning](https://arxiv.org/pdf/1904.04700.pdf) (INRIA, Apr 2019)
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+- [Unifying Ensemble Methods for Q-learning via Social Choice Theory](https://arxiv.org/pdf/1902.10646.pdf) (Max Planck Institute, Feb 2019)
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+- [Planning Beyond The Sensing Horizon Using a Learned Context](https://personalrobotics.cs.washington.edu/workshops/mlmp2018/assets/docs/18_CameraReadySubmission.pdf) (MLMP@IROS, 2018)
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+- [Guiding Policies with Language via Meta-Learning](https://arxiv.org/abs/1811.07882) (UC Berkeley, Nov 2018)
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+- [On the Complexity of Exploration in Goal-Driven Navigation](https://arxiv.org/abs/1811.06889) (CMU, NIPS, Nov 2018)
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+- [Transfer and Exploration via the Information Bottleneck](https://openreview.net/forum?id=rJg8yhAqKm) (Mila, Nov 2018)
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+- [Modeling the Long Term Future in Model-Based Reinforcement Learning](https://openreview.net/forum?id=SkgQBn0cF7) (Nov 2018)
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+- [Learning of Sophisticated Curriculums by viewing them as Graphs over Tasks](https://openreview.net/forum?id=rJlGdsC9Ym) (ICLR, Nov 2018, withdrawn)
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+- [BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop](https://arxiv.org/abs/1810.08272) (Mila, Oct 2018)
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This environment has been built as part of work done at the [MILA](https://mila.quebec/en/). The Dynamic obstacles environment has been added as part of work done at [IAS in TU Darmstadt](https://www.ias.informatik.tu-darmstadt.de/) and the University of Genoa for mobile robot navigation with dynamic obstacles.
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## Installation
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Maxime Chevalier-Boisvert