← Authors

Dinesh Jayaraman

47 papers · 2014–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (58) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (98) ❓ The Questioner (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (135) πŸ’Ž Century Club (47) πŸ”₯ Unstoppable (8)

Conferences

ICLR (15) CORL (7) NIPS (6) ICML (5) CVPR (3) ECCV (3) ICCV (3) RSS (3) L4DC (2)

Top co-authors

Osbert Bastani (12) Yecheng Jason Ma (10) Sergey Levine (7) Edward S. Hu (7) Kristen Grauman (6) Chelsea Finn (5) Chuan Wen (4) Jianing Qian (4) Yang Gao (4) Oleh Rybkin (4)

Research topics

Reinforcement Learning (1) Robotics (1)

Keywords

imitation learning (4) reinforcement learning (4) behavioral cloning (3) robot manipulation (3) representation learning (3) domain generalization (2) state-occupancy matching (2) sim-to-real transfer (2) normalizing flow (2) convolutional neural network (2) policy transfer (2) model-based reinforcement learning (2) autonomous driving (2) offline reinforcement learning (2) policy learning (2) partially observable (2) visual observation (1) few-shot learning (1) feature learning (1) zero-shot learning (1)

Papers

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CORL 2025
Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking RSS 2025
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments ICLR 2025
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model ICLR 2025
The Belief State Transformer ICLR 2025
Vision Language Models are In-Context Value Learners ICLR 2025
The Value of Sensory Information to a Robot ICLR 2025
RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models CORL 2025
TLControl: Trajectory and Language Control for Human Motion Synthesis ECCV 2024
Environment Curriculum Generation via Large Language Models CORL 2024
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control CORL 2024
Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024
Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024
Memory-Consistent Neural Networks for Imitation Learning ICLR 2024
Can Transformers Capture Spatial Relations between Objects? ICLR 2024
ZeroFlow: Scalable Scene Flow via Distillation ICLR 2024
DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024
Planning Goals for Exploration ICLR 2023
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023
LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023
Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing CORL 2023
Discovering Deformable Keypoint Pyramids ECCV 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CORL 2022
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching ICML 2022
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression NIPS 2022
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021
Likelihood-Based Diverse Sampling for Trajectory Forecasting ICCV 2021
Probabilistic Modeling for Human Mesh Recovery ICCV 2021
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021
Conservative Offline Distributional Reinforcement Learning NIPS 2021
Keyframe-Focused Visual Imitation Learning ICML 2021
Model-Based Inverse Reinforcement Learning from Visual Demonstrations CORL 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NIPS 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories NIPS 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020
Causal Confusion in Imitation Learning NIPS 2019
Time-Agnostic Prediction: Predicting Predictable Video Frames ICLR 2019
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids ECCV 2018
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016
Learning Image Representations Tied to Ego-Motion ICCV 2015
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014
Zero-shot recognition with unreliable attributes NIPS 2014