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1. Stanford-ILIAD/CARLO Stanford-ILIAD/CARLO Public

   2D Driving Simulator

   Python 100 36

2. Stanford-ILIAD/active-preference-based-gpr Stanford-ILIAD/active-preference-based-gpr Public

   Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"

   Python 39 9

3. Stanford-ILIAD/batch-active-preference-based-learning Stanford-ILIAD/batch-active-preference-based-learning Public

   Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.

   Python 28 4

4. Stanford-ILIAD/DPP-Batch-Active-Learning Stanford-ILIAD/DPP-Batch-Active-Learning Public

   Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv preprint arXiv:1906.07975, Dec. 2019.

   Jupyter Notebook 13 2

5. Stanford-ILIAD/easy-active-learning Stanford-ILIAD/easy-active-learning Public

   Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning". 3rd Conference on Robot Learning (…

   Python 15 1

6. Stanford-ILIAD/RL_Routing Stanford-ILIAD/RL_Routing Public

   Companion code to TRC paper: Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani. "Learning how to Dynamically Route Autonomous Vehicles on Shared Roads". Transportation Research Part C: E…

   Python 14 1