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Aravind Rajeswaran

28 papers · 2017–2025 · 7 venues · across top CS/AI venues

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Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (48) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ”¬ Deep Specialist (11) πŸ‘₯ Mega-Team Β· Squad 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (122)

Venues

NeurIPS (10) ICML (8) ICLR (4) L4DC (3) CoRL (1) CVPR (1) RSS (1)

Top co-authors

Vikash Kumar (9) Pieter Abbeel (6) Chelsea Finn (6) Igor Mordatch (5) Sergey Levine (5) Franziska Meier (4) Oleksandr Maksymets (4) Yixin Lin (4) Arjun Majumdar (4) Sergio Arnaud (4)

Research topics

Reinforcement Learning (19) Machine Learning (17) Methods (14) Artificial Intelligence (12) Applications (9) Core AI (9) Learning Types Β· Machine Learning (8) Deep Learning (7) Learning Types Β· Deep Learning (6) Learning Paradigms (5) Optimization & Theory (5) Robotics (4) Application Areas (4) Computer Vision (3) Capabilities (3)

Keywords

reinforcement learning (8) model-based reinforcement learning (5) offline reinforcement learning (5) visual representation (4) representation learning (4) sample efficiency (4) robot learning (3) foundation model (3) imitation learning (2) robot manipulation (2) world model (2) deep reinforcement learning (2) value function (2) transfer learning (2) policy gradient (2) self-supervised learning (2) point cloud (2) domain adaptation (2) continuous control (2) visuomotor control (2)

Papers

From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs ICML 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D ICML 2025 OpenEQA: Embodied Question Answering in the Era of Foundation Models CVPR 2024 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations ICLR 2023 On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline ICML 2023 RoboHive: A Unified Framework for Robot Learning NeurIPS 2023 Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022 R3M: A Universal Visual Representation for Robot Manipulation CoRL 2022 The Unsurprising Effectiveness of Pre-Trained Vision Models for Control ICML 2022 Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots ICML 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control NeurIPS 2022 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 Offline Reinforcement Learning from Images with Latent Space Models L4DC 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Visual Adversarial Imitation Learning using Variational Models NeurIPS 2021 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020 MOReL: Model-Based Offline Reinforcement Learning NeurIPS 2020 Meta-Learning with Implicit Gradients NeurIPS 2019 Online Meta-Learning ICML 2019 Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control ICLR 2019 Divide-and-Conquer Reinforcement Learning ICLR 2018 Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations RSS 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines ICLR 2018 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017