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The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors

Jan 26, 2021
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals

* 37 pages, initial submission, accepted at NeurIPS. arXiv admin note: substantial text overlap with arXiv:1904.10079 

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Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation

Nov 24, 2020
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

* The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020) 
* 8 pages, 8 figures 

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Behaviorally Diverse Traffic Simulation via Reinforcement Learning

Nov 11, 2020
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 2103-2110 
* 8 pages, 16 figures 

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Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators

Jul 16, 2020
Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro

* Accepted at IROS 2020 

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IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

Jun 26, 2018
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux

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