← Authors

Karol Hausman

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

Achievements

🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (48) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (29) πŸ† Grand Slam πŸ‘₯ Mega-Team (55) πŸ”¬ Deep Specialist (16) πŸ”₯ Unstoppable (9) ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (149) πŸ’Ž Century Club (41) πŸ“ˆ 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

Ο€β‚€: 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