Fu, Justin

14 publications

ECCV 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

NeurIPS 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 Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

ICLR 2021 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, Thomas Paine

JAIR 2021 Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach

ICLR 2021 Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine

ICLR 2021 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu, Sergey Levine

ICML 2019 Diagnosing Bottlenecks in Deep Q-Learning Algorithms Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine

ICLR 2019 From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama

NeurIPS 2019 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar, Justin Fu, Matthew Soh, George Tucker, Sergey Levine

NeurIPS 2019 When to Trust Your Model: Model-Based Policy Optimization Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine

ICLR 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning Justin Fu, Katie Luo, Sergey Levine

NeurIPS 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine

NeurIPS 2017 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu, John Co-Reyes, Sergey Levine

ICLR 2017 Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine