IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning. - Ronan Riochet; Mario Ynocente Castro; Mathieu Bernard; Adam Lerer; Rob Fergus; Véronique Izard; Emmanuel Dupoux (CoRR, 2018)

Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. - Yasuhiro Fujita 001; Kota Uenishi; Avinash Ummadisingu; Prabhat Nagarajan; Shimpei Masuda; Mario Ynocente Castro (IROS, 2020)

Behaviorally Diverse Traffic Simulation via Reinforcement Learning. - Shinya Shiroshita; Shirou Maruyama; Daisuke Nishiyama; Mario Ynocente Castro; Karim Hamzaoui; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (IROS, 2020)

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. - Daisuke Nishiyama; Mario Ynocente Castro; Shirou Maruyama; Shinya Shiroshita; Karim Hamzaoui; Yi Ouyang; Guy Rosman; Jonathan A. DeCastro; Kuan-Hui Lee; Adrien Gaidon (ITSC, 2020)

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. - William H. Guss; Mario Ynocente Castro; Sam Devlin; Brandon Houghton; Noboru Sean Kuno; Crissman Loomis; Stephanie Milani; Sharada P. Mohanty; Keisuke Nakata; Ruslan Salakhutdinov; John Schulman; Shinya Shiroshita; et al. (CoRR, 2021)

IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. - Ronan Riochet; Mario Ynocente Castro; Mathieu Bernard; Adam Lerer; Rob Fergus; Véronique Izard; Emmanuel Dupoux (IEEE Trans. Pattern Anal. Mach. Intell., 2022)