One-shot learning of manipulation skills with online dynamics adaptation and neural network priors. - Justin Fu; Sergey Levine; Pieter Abbeel (IROS, 2016)

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

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning. - Justin Fu; John D. Co-Reyes; Sergey Levine (NIPS, 2017)

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning. - Justin Fu; Katie Luo; Sergey Levine (CoRR, 2017)

Learning Robust Rewards with Adverserial Inverse Reinforcement Learning. - Justin Fu; Katie Luo; Sergey Levine (ICLR (Poster), 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, 2018)

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

Diagnosing Bottlenecks in Deep Q-learning Algorithms. - Justin Fu; Aviral Kumar; Matthew Soh; Sergey Levine (ICML, 2019)

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

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

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction. - Aviral Kumar; Justin Fu; George Tucker; Sergey Levine (CoRR, 2019)

Learning To Reach Goals Without Reinforcement Learning. - Dibya Ghosh; Abhishek Gupta 004; Justin Fu; Ashwin Reddy; Coline Devin; Benjamin Eysenbach; Sergey Levine (CoRR, 2019)

D4RL: Datasets for Deep Data-Driven Reinforcement Learning. - Justin Fu; Aviral Kumar; Ofir Nachum; George Tucker; Sergey Levine (CoRR, 2020)

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems. - Sergey Levine; Aviral Kumar; George Tucker; Justin Fu (CoRR, 2020)

Benchmarks for Deep Off-Policy Evaluation. - Justin Fu; Mohammad Norouzi 002; Ofir Nachum; George Tucker; Ziyu Wang 001; Alexander Novikov 001; Mengjiao Yang 001; Michael R. Zhang; Yutian Chen 001; Aviral Kumar; Cosmin Paduraru; Sergey Levine; et al. (ICLR, 2021)

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

Learning to Reach Goals via Iterated Supervised Learning. - Dibya Ghosh; Abhishek Gupta 004; Ashwin Reddy; Justin Fu; Coline Manon Devin; Benjamin Eysenbach; Sergey Levine (ICLR, 2021)

Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. - Justin Fu; Andrea Tacchetti; Julien Pérolat; Yoram Bachrach (J. Artif. Intell. Res., 2021)

Offline Learning for Scalable Decision Making - Justin Fu (2021)

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. - Eli Bronstein; Mark Palatucci; Dominik Notz; Brandyn White; Alex Kuefler; Yiren Lu 001; Supratik Paul; Payam Nikdel; Paul Mougin; Hongge Chen; Justin Fu; Austin Abrams; et al. (IROS, 2022)

Context-Aware Language Modeling for Goal-Oriented Dialogue Systems. - Charlie Snell; Sherry Yang 001; Justin Fu; Yi Su; Sergey Levine (NAACL-HLT (Findings), 2022)

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning. - Siddharth Verma; Justin Fu; Sherry Yang 001; Sergey Levine (NAACL-HLT, 2022)

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Yiren Lu 001; Justin Fu; George Tucker; Xinlei Pan; Eli Bronstein; Rebecca Roelofs; Benjamin Sapp; Brandyn White; Aleksandra Faust; Shimon Whiteson; Dragomir Anguelov; Sergey Levine (IROS, 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 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. - Zhenghao Peng; Wenjie Luo; Yiren Lu 001; Tianyi Shen; Cole Gulino; Ari Seff; Justin Fu (ECCV (25), 2024)