Dorsa Sadigh

93 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (4) 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (11) 🏠 Conference Loyalist (32) 👥 Mega-Team (98) 🏆 Grand Slam 🔬 Deep Specialist (22) 🏆 Keyword Champion (8) 🤝 Dynamic Duo (13) 👑 Triple Crown 🗃️ Keyword Collector (308) ❓ The Questioner (2) ⚡ Prolific Year (5) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (93) 🔥 Unstoppable (10)

Conferences

CORL (32) RSS (24) NIPS (11) ICML (10) ICLR (5) EMNLP (4) AAAI (2) L4DC (2) CONLL (1) CVPR (1) IJCAI (1)

Top co-authors

Chelsea Finn (13) Siddharth Karamcheti (11) Suneel Belkhale (11) Fei Xia (10) Ted Xiao (10) Joey Hejna (10) Suvir Mirchandani (9) Andy Shih (9) Quan Vuong (8) Stefano Ermon (7)

Keywords

imitation learning (17) robot manipulation (10) reinforcement learning (8) human-robot interaction (8) multi-agent system (8) policy learning (7) reward learning (7) active learning (7) representation learning (6) preference learning (6) inverse reinforcement learning (5) few-shot learning (3) visuomotor control (3) autonomous driving (3) large language model (3) diffusion model (3) multi-agent reinforcement learning (3) reward function (3) foundation model (3) bimanual manipulation (3)

Papers

Data Retrieval with Importance Weights for Few-Shot Imitation Learning CORL 2025

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization RSS 2025

Unified Video Action Model RSS 2025

Robot Data Curation with Mutual Information Estimators RSS 2025

Latent Diffusion Planning for Imitation Learning ICML 2025

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation ICML 2025

Vision Language Models are In-Context Value Learners ICLR 2025

What's the Move? Hybrid Imitation Learning via Salient Points ICLR 2025

Action-Free Reasoning for Policy Generalization CORL 2025

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation CORL 2025

Efficient Data Collection for Robotic Manipulation via Compositional Generalization RSS 2024

Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration CORL 2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches CORL 2024

ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning CORL 2024

OpenVLA: An Open-Source Vision-Language-Action Model CORL 2024

So You Think You Can Scale Up Autonomous Robot Data Collection? CORL 2024

FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning CORL 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities CVPR 2024

Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ICML 2024

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator ICML 2024

FLAIR: Feeding via Long-Horizon AcquIsition of Realistic dishes RSS 2024

RT-H: Action Hierarchies using Language RSS 2024

Imitation Bootstrapped Reinforcement Learning RSS 2024

Explore until Confident: Efficient Exploration for Embodied Question Answering RSS 2024

Octo: An Open-Source Generalist Robot Policy RSS 2024

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control RSS 2024

Long Horizon Temperature Scaling ICML 2023

Generating Language Corrections for Teaching Physical Control Tasks ICML 2023

Gesture-Informed Robot Assistance via Foundation Models CORL 2023

KITE: Keypoint-Conditioned Policies for Semantic Manipulation CORL 2023

Diverse Conventions for Human-AI Collaboration NIPS 2023

HYDRA: Hybrid Robot Actions for Imitation Learning CORL 2023

Large Language Models as General Pattern Machines CORL 2023

Reward Design with Language Models ICLR 2023

Learning Sequential Acquisition Policies for Robot-Assisted Feeding CORL 2023

Inverse Preference Learning: Preference-based RL without a Reward Function NIPS 2023

Parallel Sampling of Diffusion Models NIPS 2023

Polybot: Training One Policy Across Robots While Embracing Variability CORL 2023

Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023

Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners CORL 2023

Stabilize to Act: Learning to Coordinate for Bimanual Manipulation CORL 2023

Language to Rewards for Robotic Skill Synthesis CORL 2023

Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets RSS 2023

Language-Driven Representation Learning for Robotics RSS 2023

Data Quality in Imitation Learning NIPS 2023

RoboCLIP: One Demonstration is Enough to Learn Robot Policies NIPS 2023

Assistive Teaching of Motor Control Tasks to Humans NIPS 2022

Training and Inference on Any-Order Autoregressive Models the Right Way NIPS 2022

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams AAAI 2022

PantheonRL: A MARL Library for Dynamic Training Interactions AAAI 2022

Few-Shot Preference Learning for Human-in-the-Loop RL CORL 2022

Eliciting Compatible Demonstrations for Multi-Human Imitation Learning CORL 2022

Learning Bimanual Scooping Policies for Food Acquisition CORL 2022

PLATO: Predicting Latent Affordances Through Object-Centric Play CORL 2022

Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding CORL 2022

Imitation Learning by Estimating Expertise of Demonstrators ICML 2022

Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NIPS 2021

Open-domain clarification question generation without question examples EMNLP 2021

On the Critical Role of Conventions in Adaptive Human-AI Collaboration ICLR 2021

Targeted Data Acquisition for Evolving Negotiation Agents ICML 2021

HyperSPNs: Compact and Expressive Probabilistic Circuits NIPS 2021

ELLA: Exploration through Learned Language Abstraction NIPS 2021

Emergent Prosociality in Multi-Agent Games Through Gifting IJCAI 2021

Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021

Learning Multimodal Rewards from Rankings CORL 2021

Learning Reward Functions from Scale Feedback CORL 2021

Learning Feasibility to Imitate Demonstrators with Different Dynamics CORL 2021

Influencing Towards Stable Multi-Agent Interactions CORL 2021

LILA: Language-Informed Latent Actions CORL 2021

Shared Autonomy with Learned Latent Actions RSS 2020

Learning Adaptive Language Interfaces through Decomposition EMNLP 2020

BLEU Neighbors: A Reference-less Approach to Automatic Evaluation EMNLP 2020

Continual Adaptation for Efficient Machine Communication EMNLP 2020

Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020

Learning Latent Representations to Influence Multi-Agent Interaction CORL 2020

Continual Adaptation for Efficient Machine Communication CONLL 2020

Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020

Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020

Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019

Influencing Leading and Following in Human-Robot Teams RSS 2019

Learning from My Partner’s Actions: Roles in Decentralized Robot Teams CORL 2019

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CORL 2019

Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019

Multi-Agent Generative Adversarial Imitation Learning NIPS 2018

Batch Active Preference-Based Learning of Reward Functions CORL 2018

Active Preference-Based Learning of Reward Functions RSS 2017

Safe Control under Uncertainty with Probabilistic Signal Temporal Logic RSS 2016

Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016