Uncertainty-Aware Reinforcement Learning for Collision Avoidance. - Gregory Kahn; Adam Villaflor; Vitchyr Pong; Pieter Abbeel; Sergey Levine (CoRR, 2017)

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation. - Gregory Kahn; Adam Villaflor; Pieter Abbeel; Sergey Levine (CoRL, 2018)

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation. - Gregory Kahn; Adam Villaflor; Bosen Ding; Pieter Abbeel; Sergey Levine (ICRA, 2018)

Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions. - Samuel Triest; Adam Villaflor; John M. Dolan (IV, 2020)

Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios. - Christoph Killing; Adam Villaflor; John M. Dolan (ICRA, 2021)

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. - Adam R. Villaflor; Zhe Huang; Swapnil Pande; John M. Dolan; Jeff Schneider 001 (ICML, 2022)

BATS: Best Action Trajectory Stitching. - Ian Char; Viraj Mehta; Adam Villaflor; John M. Dolan; Jeff Schneider 001 (CoRR, 2022)

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving. - Adam Villaflor; Brian Yang; Huangyuan Su; Katerina Fragkiadaki; John M. Dolan; Jeff G. Schneider (ICRA, 2024)