Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Ken Goldberg — most-cited papers & profile · AI for Code
← authors
·
overview
Ken Goldberg
80
papers ·
1019
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · 332 citations
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023 · 101 citations
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
2020 · 71 citations
Multi-Level Discovery of Deep Options
2017 · 70 citations
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
2017 · 54 citations
DayDreamer: World Models for Physical Robot Learning
2022 · 46 citations
DayDreamer: World Models for Physical Robot Learning
2022 · 46 citations
A Multi-Chamber Smart Suction Cup for Adaptive Gripping and Haptic Exploration
2021 · 28 citations
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
2018 · 25 citations
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
2020 · 20 citations
Accelerating Quadratic Optimization with Reinforcement Learning
2021 · 20 citations
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning
2017 · 17 citations
Learning Robust Bed Making using Deep Imitation Learning with DART
2017 · 17 citations
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
2020 · 16 citations
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
2020 · 16 citations
Top co-authors
Guanzhi Wang
· 2
Letian Fu
· 2
Linxi "Jim" Fan
· 2
Yuke Zhu
· 2
Adithyavairavan Murali
· 1
Ajay Mandlekar
· 1
Ang Chen
· 1
Balakumar Sundaralingam
· 1
Christian Juette
· 1
Daehwa Kim
· 1
Ethan Kou
· 1
Guanya Shi
· 1
Topics
Manipulation
Control
Perception
Human-Robot Interaction
Multi-Robot
Sim-to-Real
Model-Based RL
Exploration
Value-Based
Policy Gradient