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MotionLM: Multi-Agent Motion Forecasting as Language Modeling

MotionLM: Multi-Agent Motion Forecasting as Language Modeling

28 September 2023
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
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Papers citing "MotionLM: Multi-Agent Motion Forecasting as Language Modeling"

29 / 29 papers shown
Title
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation
Keyu Chen
Wenchao Sun
Hao Cheng
Sifa Zheng
35
0
0
06 May 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
52
0
0
25 Apr 2025
Continuous Locomotive Crowd Behavior Generation
Continuous Locomotive Crowd Behavior Generation
Inhwan Bae
Junoh Lee
Hae-Gon Jeon
31
0
0
07 Apr 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
46
0
0
19 Mar 2025
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
Zhongyi Shui
Ruizhe Guo
Honglin Li
Yuxuan Sun
Yunlong Zhang
Chenglu Zhu
Jiatong Cai
Pingyi Chen
Yanzhou Su
Lin Yang
46
0
0
04 Mar 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
Dongkun Zhang
Jiaming Liang
Ke Guo
Sha Lu
Qi Wang
R. Xiong
Zhenwei Miao
Yue Wang
61
1
0
27 Feb 2025
Conditional Prediction by Simulation for Automated Driving
Conditional Prediction by Simulation for Automated Driving
Fabian Konstantinidis
Moritz Sackmann
U. Hofmann
Christoph Stiller
80
0
0
05 Feb 2025
Control-ITRA: Controlling the Behavior of a Driving Model
Control-ITRA: Controlling the Behavior of a Driving Model
Vasileios Lioutas
Adam Scibior
Matthew Niedoba
Berend Zwartsenberg
Frank D. Wood
69
0
0
17 Jan 2025
DriveLM: Driving with Graph Visual Question Answering
DriveLM: Driving with Graph Visual Question Answering
Chonghao Sima
Katrin Renz
Kashyap Chitta
L. Chen
Hanxue Zhang
Chengen Xie
Jens Beißwenger
Ping Luo
Andreas Geiger
Hongyang Li
84
160
0
17 Jan 2025
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
Sanghyun Son
L. Zheng
Brian Clipp
Connor Greenwell
Sujin Philip
Ming-Chyuan Lin
63
0
0
21 Dec 2024
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
Clémence Grislain
Risto Vuorio
Cong Lu
Shimon Whiteson
24
1
0
07 Nov 2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Ehsan Ahmadi
Ray Coden Mercurius
Soheil Alizadeh
K. Rezaee
Amir Rasouli
AAML
36
0
0
23 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Marc Heim
Fráncisco Suarez-Ruiz
Ishraq Bhuiyan
Bruno Brito
Momchil S. Tomov
34
1
0
14 Sep 2024
Reliable Trajectory Prediction and Uncertainty Quantification with
  Conditioned Diffusion Models
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
DiffM
33
3
0
23 May 2024
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Yi Tian Xu
Yun Fu
36
11
0
31 Mar 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline
  Reinforcement Learning
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Luke Rowe
Roger Girgis
Anthony Gosselin
Bruno Carrez
Florian Golemo
Felix Heide
Liam Paull
Christopher Pal
36
4
0
29 Mar 2024
Embodied Understanding of Driving Scenarios
Embodied Understanding of Driving Scenarios
Yunsong Zhou
Linyan Huang
Qingwen Bu
Jia Zeng
Tianyu Li
Hang Qiu
Hongzi Zhu
Minyi Guo
Yu Qiao
Hongyang Li
LM&Ro
55
30
0
07 Mar 2024
Blending Data-Driven Priors in Dynamic Games
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
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using
  Satellite Imagery
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery
Ruikang Luo
Yaofeng Song
H. Zhao
Yicheng Zhang
Yi Zhang
Nanbin Zhao
Liping Huang
Rong Su
ViT
11
11
0
27 Sep 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
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
129
528
0
20 Apr 2021
Identifying Driver Interactions via Conditional Behavior Prediction
Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina V. Tolstaya
R. Mahjourian
Carlton Downey
Balakrishnan Varadarajan
Benjamin Sapp
Drago Anguelov
117
71
0
20 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
363
0
20 Jan 2021
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
64
30
0
18 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
103
126
0
16 Jan 2021
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
114
115
0
24 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
147
155
0
23 Jul 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
160
211
0
18 Oct 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,542
0
25 Jan 2016
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