Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Y Zhang, W Wang, R Bonatti, D Maturana… - arXiv preprint arXiv …, 2018 - arxiv.org
Predicting the motion of a mobile agent from a third-person perspective is an important
component for many robotics applications, such as autonomous navigation and tracking …
被引用次数：60 相关文章

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Y Zhang, W Wang, R Bonatti… - … on Robot Learning, 2018 - proceedings.mlr.press
Predicting the motion of a mobile agent from a third-person perspective is an important
component for many robotics applications, such as autonomous navigation and tracking …

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Y Zhang, W Wang, R Bonatti, D Maturana… - arXiv e …, 2018 - ui.adsabs.harvard.edu
Predicting the motion of a mobile agent from a third-person perspective is an important
component for many robotics applications, such as autonomous navigation and tracking …

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Y Zhang, W Wang, R Bonatti… - … on Robot Learning, 2018 - proceedings.mlr.press
Predicting the motion of a mobile agent from a third-person perspective is an important
component for many robotics applications, such as autonomous navigation and tracking …