Rishabh Agarwal
Google (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification
Most-Cited Works
- → Neural Additive Models: Interpretable Machine Learning with Neural Nets(2020)121 cited
- → An Optimistic Perspective on Offline Reinforcement Learning(2019)95 cited
- An Optimistic Perspective on Offline Deep Reinforcement Learning(2020)
- → Revisiting Fundamentals of Experience Replay(2020)83 cited
- → Delivery and Tracking of Quantum Dot Peptide Bioconjugates in an Intact Developing Avian Brain(2015)74 cited
- Striving for Simplicity in Off-policy Deep Reinforcement Learning(2019)
- → Learning to Generalize from Sparse and Underspecified Rewards(2019)46 cited
- → Deep Reinforcement Learning at the Edge of the Statistical Precipice(2021)41 cited
- RL Unplugged: Benchmarks for Offline Reinforcement Learning.(2020)