Kolve, Eric

Target-driven visual navigation in indoor scenes using deep reinforcement learning

Zhu, Y., Mottaghi, R., Kolve, E., Lim, J. J., Gupta, A., Fei-Fei, L., & Farhadi, A. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 1,533

AI2-THOR: An Interactive 3D Environment for Visual AI

Kolve, E., Mottaghi, R., Han, W., VanderBilt, E., Weihs, L., Herrasti, A., Deitke, M., Ehsani, K., Gordon, D., Zhu, Y., et al. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 578

A Diagram is Worth a Dozen Images

Kembhavi, A., Salvato, M., Kolve, E., Seo, M., Hajishirzi, H., & Farhadi, A. (2016) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 290

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Deitke, M., Han, W., Herrasti, A., Kembhavi, A., Kolve, E., Mottaghi, R., Salvador, J., Schwenk, D., VanderBilt, E., Wallingford, M., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 220

ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Deitke, M., VanderBilt, E., Herrasti, A., Weihs, L., Salvador, J., Ehsani, K., Han, W., Kolve, E., Farhadi, A., Kembhavi, A., et al. (2022) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 155

ManipulaTHOR: A Framework for Visual Object Manipulation

Ehsani, K., Han, W., Herrasti, A., VanderBilt, E., Weihs, L., Kolve, E., Kembhavi, A., & Mottaghi, R. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 81