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Jeannette Bohg — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jeannette Bohg
76
papers ·
752
citations ·
34
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
XIRL: Cross-embodiment Inverse Reinforcement Learning
2021 · 10 citations
GRAC: Self-Guided and Self-Regularized Actor-Critic
2020 · 6 citations
Rethinking Optimization with Differentiable Simulation from a Global Perspective
2022 · 5 citations
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
2017 · 3 citations
Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
2025 · 1 citations
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
2023 · 1 citations
SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
2026
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
2019
Top co-authors
C. Karen Liu
· 2
Jingyun Yang
· 2
Tyler Ga Wei Lum
· 2
Andy Zeng
· 1
Animesh Garg
· 1
Archit Sharma
· 1
Chelsea Finn
· 1
Jonathan Tompson
· 1
Kushal Kedia
· 1
Lin Shao
· 1
Mario Fritz
· 1
Pete Florence
· 1
Topics
Exploration
Policy Gradient
Meta-RL
Model-Based RL
Value-Based
Offline RL
cs.RO
cs.AI
Safe RL