Adam Villaflor

According to our database, Adam Villaflor authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving.

Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff Schneider

CoRR, 2024

2022

BATS: Best Action Trajectory Stitching.

Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider

CoRR, 2022

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning.

Adam R. Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios.

Christoph Killing, Adam Villaflor, John M. Dolan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions.

Samuel Triest, Adam Villaflor, John M. Dolan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2018

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation.

Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine

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

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation.

Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Uncertainty-Aware Reinforcement Learning for Collision Avoidance.

Gregory Kahn, Adam Villaflor, Vitchyr Pong, Pieter Abbeel, Sergey Levine

CoRR, 2017