Justin Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
5
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECCV | Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. | Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu |
| 2023 | IROS | Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. | Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine |
| 2022 | IROS | Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. | Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov |
| 2022 | NAACL | Context-Aware Language Modeling for Goal-Oriented Dialogue Systems. | Charlie Snell, Sherry Yang, Justin Fu, Yi Su, Sergey Levine |
| 2022 | NAACL | CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning. | Siddharth Verma, Justin Fu, Sherry Yang, Sergey Levine |
| 2021 | ICLR | Benchmarks for Deep Off-Policy Evaluation. | Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine |
| 2021 | ICLR | Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation. | Justin Fu, Sergey Levine |
| 2021 | ICLR | Learning to Reach Goals via Iterated Supervised Learning. | Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine |
| 2019 | ICLR | From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. | Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama |
| 2019 | ICML | Diagnosing Bottlenecks in Deep Q-learning Algorithms. | Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine |
| 2018 | ICLR | Learning Robust Rewards with Adverserial Inverse Reinforcement Learning. | Justin Fu, Katie Luo, Sergey Levine |
| 2017 | ICLR | Generalizing Skills with Semi-Supervised Reinforcement Learning. | Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine |
| 2016 | IROS | One-shot learning of manipulation skills with online dynamics adaptation and neural network priors. | Justin Fu, Sergey Levine, Pieter Abbeel |