Justin Fu

发表

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Sergey Levine, Aviral Kumar, Justin Fu, 2019, NeurIPS.

When to Trust Your Model: Model-Based Policy Optimization

Sergey Levine, Justin Fu, Marvin Zhang, 2019, NeurIPS.

Diagnosing Bottlenecks in Deep Q-learning Algorithms

Sergey Levine, Aviral Kumar, Justin Fu, 2019, ICML.

One-shot learning of manipulation skills with online dynamics adaptation and neural network priors

Sergey Levine, Pieter Abbeel, Justin Fu, 2015, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Model-Based Reinforcement Learning for Playing Atari Games

Justin Fu, Irving Hsu, 2016 .

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems pdf

Sergey Levine, Justin Fu, George Tucker, 2020, ArXiv.

Generalizing Skills with Semi-Supervised Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICLR.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

S. Levine, G. Tucker, Aviral Kumar, 2020, ArXiv.

Context-Aware Language Modeling for Goal-Oriented Dialogue Systems

Mengjiao Yang, S. Levine, Justin Fu, 2022, NAACL-HLT.

Learning To Reach Goals Without Reinforcement Learning

S. Levine, Abhishek Gupta, Benjamin Eysenbach, 2019, ArXiv.

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

John D. Co-Reyes, S. Levine, Justin Fu, 2017, NIPS.

From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following pdf

Sergey Levine, Sergio Guadarrama, Justin Fu, 2019, ICLR.

Benchmarks for Deep Off-Policy Evaluation pdf

Sergey Levine, Mohammad Norouzi, Justin Fu, 2021, ICLR.

Monolayer and epi-fluorescence microscopy studies of amino acid derivatized diacetylene lipids

Justin Fu, R. Stevens, Q. Cheng, 1999 .

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

Justin Fu, Alex Kuefler, B. White, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning pdf

Sergey Levine, Justin Fu, Katie Luo, 2017, ICLR 2017.

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

Justin Fu, John D. Co-Reyes, Sergey Levine, 2017, NIPS.

D4RL: Datasets for Deep Data-Driven Reinforcement Learning pdf

Justin Fu, George Tucker, Ofir Nachum, 2020, ArXiv.

Learning to Reach Goals via Iterated Supervised Learning

Sergey Levine, Justin Fu, Coline Devin, 2019, ICLR.

Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition

Sergey Levine, Justin Fu, Avi Singh, 2018, NeurIPS.

Datasets for Data-Driven Reinforcement Learning

Justin Fu, George Tucker, Ofir Nachum, 2020 .

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning

S. Levine, Justin Fu, Mengjiao Yang, 2022, NAACL.

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

S. Levine, G. Tucker, Justin Fu, 2022, ArXiv.

Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning

Yoram Bachrach, A. Tacchetti, J. Pérolat, 2021, Journal of Artificial Intelligence Research.

Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation pdf

Sergey Levine, Justin Fu, S. Levine, 2021, ICLR.

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

S. Levine, G. Tucker, Justin Fu, 2022, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).