A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning Framework
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
[1] . • DESIRE-SI-IT0 Best : A deep generative model proposed by Lee et al. [2] . ...
Lee et al. [2] let their RNNs use features from the static scene images to refine the predicted multiple trajectories. Xue et al. ...
arXiv:1907.04525v2
fatcat:z4k4jljz4vc7ber362oqifinlu
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2007.03877v1 fatcat:4grisihtfjbztln65uojpailp4
We follow a deep generative model proposed by Lee et al. [19] for the implementation. • CarNet: Clairvoyant attentive recurrent network proposed by Sadeghian et al. [27] . ...
arXiv:2007.03877v2
fatcat:vub5qaudbrenjp5buewjoud3vu