Aviral Kumar
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Machine Learning and Data Classification, Natural Language Processing Techniques, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems(2020)791 cited
- → Conservative Q-Learning for Offline Reinforcement Learning(2020)535 cited
- → D4RL: Datasets for Deep Data-Driven Reinforcement Learning(2020)331 cited
- → Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction(2019)234 cited
- → Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning(2019)165 cited
- Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings(2018)
- → COMBO: Conservative Offline Model-Based Policy Optimization(2021)52 cited
- Graph Normalizing Flows(2019)
- → Calibration of Encoder Decoder Models for Neural Machine Translation(2019)40 cited