Aravind Rajeswaran
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → Decision Transformer: Reinforcement Learning via Sequence Modeling(2021)464 cited
- → Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data(2017)256 cited
- → Meta-Learning with Implicit Gradients(2019)217 cited
- → Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost(2019)171 cited
- → MOReL : Model-Based Offline Reinforcement Learning(2020)158 cited
- → EPOpt: Learning Robust Neural Network Policies Using Model Ensembles(2016)144 cited
- → Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations(2018)122 cited
- → Online Meta-Learning(2019)101 cited
- → R3M: A Universal Visual Representation for Robot Manipulation(2022)82 cited
- → Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines(2018)72 cited