← Authors

Aravind Rajeswaran

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

Achievements

πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (44) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team (24) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (105) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

NIPS (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 (1) Robotics (1)

Keywords

reinforcement learning (6) offline reinforcement learning (5) visual representation (4) model-based reinforcement learning (4) representation learning (4) sample efficiency (3) robot learning (3) imitation learning (2) foundation model (2) robot manipulation (2) deep reinforcement learning (2) domain adaptation (2) transfer learning (2) visual observation (1) few-shot learning (1) contrastive learning (1) transformer architecture (1) policy evaluation (1) game theory (1) vision transformer (1)

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