| Uncertainty-aware reinforcement learning for collision avoidance G Kahn, A Villaflor, V Pong, P Abbeel, S Levine arXiv preprint arXiv:1702.01182, 2017 | 256 | 2017 |
| Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation G Kahn, A Villaflor, B Ding, P Abbeel, S Levine 2018 IEEE International Conference on Robotics and Automation (ICRA), 5129-5136, 2018 | 244 | 2018 |
| Composable action-conditioned predictors: Flexible off-policy learning for robot navigation G Kahn, A Villaflor, P Abbeel, S Levine Conference on robot learning, 806-816, 2018 | 16 | 2018 |
| Learning highway ramp merging via reinforcement learning with temporally-extended actions S Triest, A Villaflor, JM Dolan 2020 IEEE Intelligent Vehicles Symposium (IV), 1595-1600, 2020 | 8 | 2020 |
| Uncertainty-aware reinforcement learning for collision avoidance. arXiv 2017 G Kahn, A Villaflor, V Pong, P Abbeel, S Levine arXiv preprint arXiv:1702.01182, 0 | 6 | |
| Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization A Villaflor, J Dolan, J Schneider | 2 | 2020 |
| Learning to robustly negotiate bi-directional lane usage in high-conflict driving scenarios C Killing, A Villaflor, JM Dolan 2021 IEEE International Conference on Robotics and Automation (ICRA), 8090-8096, 2021 | 1 | 2021 |
| Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning AR Villaflor, Z Huang, S Pande, JM Dolan, J Schneider International Conference on Machine Learning, 22270-22283, 2022 | | 2022 |
| BATS: Best Action Trajectory Stitching I Char, V Mehta, A Villaflor, JM Dolan, J Schneider arXiv preprint arXiv:2204.12026, 2022 | | 2022 |
