Karol Hausman

π_0.5: a Vision-Language-Action Model with Open-World Generalization CoRL 2025 π₀: A Vision-Language-Action Flow Model for General Robot Control RSS 2025 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator ICML 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches CoRL 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023 Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents NeurIPS 2023 Jump-Start Reinforcement Learning ICML 2023 Open-World Object Manipulation using Pre-Trained Vision-Language Models CoRL 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CoRL 2023 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023 RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CoRL 2023 Scaling Robot Learning with Semantically Imagined Experience RSS 2023 Autonomous Reinforcement Learning: Formalism and Benchmarking ICLR 2022 Do As I Can, Not As I Say: Grounding Language in Robotic Affordances CoRL 2022 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022 Inner Monologue: Embodied Reasoning through Planning with Language Models CoRL 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CoRL 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CoRL 2021 Dynamics-Aware Unsupervised Discovery of Skills ICLR 2020 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020 Gradient Surgery for Multi-Task Learning NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Modeling Long-horizon Tasks as Sequential Interaction Landscapes CoRL 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CoRL 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CoRL 2019 Learning an Embedding Space for Transferable Robot Skills ICLR 2018 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 2017 Trajectory Optimization for Self-Calibration and Navigation RSS 2017