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Nicolas Heess — most-cited papers & profile · AI Agents
← authors
·
overview
Nicolas Heess
32
papers ·
1672
citations ·
57
h-index
Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Emergence Of Locomotion Behaviours In Rich Environments
2017 · 668 citations
Learning by Playing - Solving Sparse Reward Tasks from Scratch
2018 · 155 citations
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
2017 · 118 citations
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
2018 · 116 citations
Sim-to-Real Robot Learning from Pixels with Progressive Nets
2016 · 109 citations
Learning and Transfer of Modulated Locomotor Controllers
2016 · 105 citations
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023 · 101 citations
Robust Imitation of Diverse Behaviors
2017 · 70 citations
Hierarchical visuomotor control of humanoids
2018 · 50 citations
Language to Rewards for Robotic Skill Synthesis
2023 · 39 citations
Compositional Transfer in Hierarchical Reinforcement Learning
2019 · 27 citations
The Probabilities Also Matter: A More Faithful Metric For Faithfulness Of Free-text Explanations In Large Language Models
2024 · 26 citations
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
2025 · 20 citations
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
2022 · 20 citations
Learning Dexterous Manipulation from Suboptimal Experts
2020 · 12 citations
Top co-authors
Abbas Abdolmaleki
· 1
Alistair Muldal
· 1
Dan Horgan
· 1
David Budden
· 1
Dhruva Tb
· 1
Gabriel Barth-Maron
· 1
Jost Tobias Springenberg
· 1
Markus Wulfmeier
· 1
Martin Riedmiller
· 1
Matthew W. Hoffman
· 1
Michael Neunert
· 1
Noah Siegel
· 1
Topics
Control
Manipulation
Sim-to-Real
Locomotion
Humanoid
Multi-Robot
Perception
Human-Robot Interaction
Value-Based
Model-Based RL