Cole Gulino

16 papers A* 4A 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scaling Laws of Motion Forecasting and Planning - A Technical Report.
CoRR
Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff, Tim Shen, Cole Gulino, Chenjie Yang, Ghassen Jerfel, Dokook Choe, Rui Wang, Vinutha Kallem, Sergio Casas, Rami Al-Rfou, Benjamin Sapp, Dragomir Anguelov
2024 — conf
Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving.
ECCV (25)
Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2024 J jnl
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving.
CoRR
Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2023 A* conf
The Waymo Open Sim Agents Challenge.
NeurIPS
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023 J jnl
The Waymo Open Sim Agents Challenge.
CoRR
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023 A* conf
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
NeurIPS
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023 J jnl
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
CoRR
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2020 J jnl
Imitative Planning using Conditional Normalizing Flow.
CoRR
Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson
2020 — conf
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.
ECCV (23)
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2020 J jnl
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.
CoRR
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2020 A* conf
SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.
ICRA
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
2020 A conf
The Importance of Prior Knowledge in Precise Multimodal Prediction.
IROS
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
2020 J jnl
The Importance of Prior Knowledge in Precise Multimodal Prediction.
CoRR
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
2019 J jnl
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.
CoRR
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
2018 A* conf
Generalizing Informed Sampling for Asymptotically-Optimal Sampling-Based Kinodynamic Planning via Markov Chain Monte Carlo.
ICRA
Daqing Yi, Rohan Thakker, Cole Gulino, Oren Salzman, Siddhartha S. Srinivasa
2017 J jnl
Generalizing Informed Sampling for Asymptotically Optimal Sampling-based Kinodynamic Planning via Markov Chain Monte Carlo.
CoRR
Daqing Yi, Rohan Thakker, Cole Gulino, Oren Salzman, Siddhartha S. Srinivasa