Energy-based Potential Games for Joint Motion Forecasting and Control

Energy-based Potential Games for Joint Motion Forecasting and Control

4 December 2023

Christopher P. Diehl

Torsten Bertram

Papers citing "Energy-based Potential Games for Joint Motion Forecasting and Control"

8 / 8 papers shown

Title
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 41 0 0 13 Oct 2024
Blending Data-Driven Priors in Dynamic Games Justin Lidard Haimin Hu Asher Hancock Zixu Zhang Albert Gimó Contreras ... Deepak Gopinath Guy Rosman Naomi Ehrich Leonard María Santos J. F. Fisac OffRL 30 5 0 21 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 24 4 0 08 Feb 2024
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 67 112 0 28 Apr 2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models Nicholas Rhinehart Jeff He Charles Packer Matthew A. Wright R. McAllister Joseph E. Gonzalez Sergey Levine 101 32 0 21 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 123 421 0 20 Apr 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 145 135 0 23 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016