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← Authors

Karol Hausman

41 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (29) 🏆 Grand Slam 👥 Mega-Team (55) 🔬 Deep Specialist (16) 🔥 Unstoppable (9) ❓ The Questioner 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (149) 💎 Century Club (41) 📈 Trend Setter

Conferences

CORL (15) RSS (8) ICML (7) ICLR (5) NIPS (5) AAAI (1)

Top co-authors

Sergey Levine (29) Chelsea Finn (21) Ted Xiao (15) Yevgen Chebotar (14) Tianhe Yu (12) Fei Xia (11) brian ichter (11) Yao Lu (11) Quan Vuong (9) Alexander Herzog (7)

Keywords

imitation learning (6) robotic manipulation (6) offline reinforcement learning (6) multi-task learning (5) large language model (4) reinforcement learning (3) deep reinforcement learning (3) robot manipulation (3) long-horizon task (2) offline datum (2) vision-language model (2) robotic control (2) embodied ai (2) sample complexity (2) policy learning (2) skill learning (2) mobile manipulator (2) robotic grasping (2) sim-to-real transfer (1) sample efficiency (1)

Papers

π₀: A Vision-Language-Action Flow Model for General Robot Control RSS 2025 $\pi_0.5$: a Vision-Language-Action Model with Open-World Generalization CORL 2025 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CORL 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator ICML 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches CORL 2024 Jump-Start Reinforcement Learning ICML 2023 Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents NIPS 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CORL 2023 Open-World Object Manipulation using Pre-Trained Vision-Language Models CORL 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators RSS 2023 RT-1: Robotics Transformer for Real-World Control at Scale RSS 2023 Scaling Robot Learning with Semantically Imagined Experience RSS 2023 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023 How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022 Inner Monologue: Embodied Reasoning through Planning with Language Models CORL 2022 Autonomous Reinforcement Learning: Formalism and Benchmarking ICLR 2022 Do As I Can, Not As I Say: Grounding Language in Robotic Affordances CORL 2022 Offline Reinforcement Learning at Multiple Frequencies CORL 2022 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CORL 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CORL 2021 Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NIPS 2021 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 Modeling Long-horizon Tasks as Sequential Interaction Landscapes CORL 2020 Learning to Interactively Learn and Assist AAAI 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Dynamics-Aware Unsupervised Discovery of Skills ICLR 2020 Gradient Surgery for Multi-Task Learning NIPS 2020 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CORL 2020 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CORL 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019 Learning an Embedding Space for Transferable Robot Skills ICLR 2018 Trajectory Optimization for Self-Calibration and Navigation RSS 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NIPS 2017 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017