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Marco Hutter — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Marco Hutter
30
papers ·
101
citations ·
75
h-index
ETH Zurich · Robotic Technology (United States)
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Most-cited papers
Deep Value Model Predictive Control
2019 · 22 citations
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
2024 · 16 citations
Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning
2025 · 6 citations
Learning a State Representation and Navigation in Cluttered and Dynamic Environments
2021 · 2 citations
RSL-RL: A Learning Library for Robotics Research
2025 · 1 citations
Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
2025
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
2025
Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
2025
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
2019
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
2023
Pedipulate: Enabling Manipulation Skills using a Quadruped Robot's Leg
2024
Symmetry Considerations for Learning Task Symmetric Robot Policies
2024
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation
2024
Top co-authors
Mayank Mittal
· 4
David Hoeller
· 3
Farbod Farshidian
· 3
Andreas Krause
· 2
Chenhao Li
· 2
Joonho Lee
· 2
Nikita Rudin
· 2
Stelian Coros
· 2
Yarden As
· 2
Andreas Krause
· 1
Andrei Cramariuc
· 1
Arjun Bhardwaj
· 1
Topics
Model-Based RL
Policy Gradient
Exploration
Safe RL
Value-Based
Offline RL
Meta-RL
Multi-Agent