Justin Fu
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Autonomous Vehicle Technology and Safety, Topic Modeling, Speech and dialogue systems, Robot Manipulation and Learning
Most-Cited Works
- → Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems(2020)791 cited
- → D4RL: Datasets for Deep Data-Driven Reinforcement Learning(2020)331 cited
- → Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction(2019)234 cited
- → One-shot learning of manipulation skills with online dynamics adaptation and neural network priors(2016)133 cited
- → When to Trust Your Model: Model-Based Policy Optimization(2019)119 cited
- → Learning Robust Rewards with Adversarial Inverse Reinforcement Learning(2017)80 cited
- → From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following(2019)66 cited
- → EX2: Exploration with Exemplar Models for Deep Reinforcement Learning(2017)61 cited
- → Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios(2023)60 cited