Aravind Rajeswaran

1. Decision Transformer: Reinforcement Learning via Sequence Modeling
   2021/06/02 by Lili Chen, Chen, Lili, Kevin Lü +15 · 154 citations
   Computer Science · #Reinforcement Learning in Robotics #Topic Modeling #Adversarial Robustness in Machine Learning
2. R3M: A Universal Visual Representation for Robot Manipulation
   2022/03/23 by Suraj Nair, Nair, Suraj, Aravind Rajeswaran +7 · 115 citations
   Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
3. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning\n and Demonstrations
   2017/09/28 by Aravind Rajeswaran, Rajeswaran, Aravind, Vikas Kumar +11 · 73 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
4. Meta-Learning with Implicit Gradients
   2019/09/10 by Aravind Rajeswaran, Rajeswaran, Aravind, Chelsea Finn +5 · 69 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Model Reduction and Neural Networks
5. MOReL : Model-Based Offline Reinforcement Learning
   2020/05/12 by Rahul Kidambi, Kidambi, Rahul, Aravind Rajeswaran +5 · 53 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
6. Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
   2023/03/31 by Arjun Majumdar, Karmesh Yadav, Majumdar, Arjun +27 · 42 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
7. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
   2016/10/05 by Aravind Rajeswaran, Sarvjeet Ghotra, Rajeswaran, Aravind +5 · 33 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
8. Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
   2018/11/05 by Kendall Lowrey, Lowrey, Kendall, Aravind Rajeswaran +7 · 29 citations
   Computer Science · Physics and Astronomy · Decision Sciences · #Reinforcement Learning in Robotics #Model Reduction and Neural Networks #Simulation Techniques and Applications
9. COMBO: Conservative Offline Model-Based Policy Optimization
   2021/02/16 by Tianhe Yu, Yu, Tianhe, Aviral Kumar +9 · 25 citations
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Advanced Bandit Algorithms Research
10. Online Meta-Learning
    2019/02/22 by Chelsea Finn, Finn, Chelsea, Aravind Rajeswaran +5 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multimodal Machine Learning Applications
11. CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
    2022/12/12 by Zhao Mandi, Homanga Bharadhwaj, Mandi, Zhao +9 · 12 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
12. Train Offline, Test Online: A Real Robot Learning Benchmark
    2023/06/01 by Gaoyue Zhou, Zhou, Gaoyue, Victoria Dean +21 · 9 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
13. Masked Trajectory Models for Prediction, Representation, and Control
    2023/05/04 by Philipp Wu, Wu, Philipp, Arjun Majumdar +11 · 7 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
14. On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
    2022/12/12 by Nicklas Hansen, Zhecheng Yuan, Hansen, Nicklas +13 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotics (cs.RO)
15. What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?
    2023/10/03 by Sneha Silwal, Karmesh Yadav, Silwal, Sneha +23 · 6 citations
    Computer Science · #68T05(Secondary) #68T45 (Primary) 68T40 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.6 #I.2.9 #I.4.8 #I.5.4 #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
16. Towards Generalization and Simplicity in Continuous Control
    2017/03/08 by Aravind Rajeswaran, Kendall Lowrey, Rajeswaran, Aravind +5 · 2 citations
    Computer Science · Physics and Astronomy · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
17. Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
    2025/04/19 by Sergio Arnaud, Arnaud, Sergio, Paul McVay +41 · 1 voice · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.10 #I.2.6 #I.2.9 #I.3.7 #I.4.6 #I.4.8 #Robotics (cs.RO) #cs.AI #cs.CV #cs.RO
18. MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
    2023/09/25 by Patrick Lancaster, Lancaster, Patrick, Nicklas Hansen +5 · 4 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
19. Divide-and-Conquer Reinforcement Learning
    2017/11/27 by Dibya Ghosh, Avi Singh, Ghosh, Dibya +7 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Locomotion and Control #Robotics (cs.RO)
20. Reinforcement learning for non-prehensile manipulation: Transfer from\n simulation to physical system
    2018/03/27 by Kendall Lowrey, Lowrey, Kendall, Svetoslav Kolev +7 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
21. MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
    2022/12/12 by Nicklas Hansen, Yixin Lin, Hansen, Nicklas +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
22. Visual Adversarial Imitation Learning using Variational Models
    2021/07/16 by Rafael Rafailov, Rafailov, Rafael, Tianhe Yu +5 · 2 citations
    Computer Science · Physics and Astronomy · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO)
23. From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
    2025/02/27 by Ang Cao, Sergio Arnaud, Cao, Ang +27 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Natural Language Processing Techniques
24. Policy Architectures for Compositional Generalization in Control
    2022/03/10 by Allan Zhou, Zhou, Allan, Kumar, Vikash +4 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
25. A Game Theoretic Framework for Model Based Reinforcement Learning
    2020/04/16 by Aravind Rajeswaran, Igor Mordatch, Rajeswaran, Aravind +3 · 3 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Smart Grid Energy Management