Cole Gulino

According to our database, Cole Gulino authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving.

Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

The Waymo Open Sim Agents Challenge.

Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Imitative Planning using Conditional Normalizing Flow.

Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson

CoRR, 2020

The Importance of Prior Knowledge in Precise Multimodal Prediction.

Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.

Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.

Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.

Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun

CoRR, 2019

2018

Generalizing Informed Sampling for Asymptotically-Optimal Sampling-Based Kinodynamic Planning via Markov Chain Monte Carlo.

Daqing Yi, Rohan Thakker, Cole Gulino, Oren Salzman, Siddhartha S. Srinivasa

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018