Dorsa Sadigh

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