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Ken Goldberg — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ken Goldberg
87
papers ·
1021
citations ·
0
h-index
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Most-cited papers
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · 332 citations
Multi-Level Discovery of Deep Options
2017 · 70 citations
DayDreamer: World Models for Physical Robot Learning
2022 · 46 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
On-Policy Robot Imitation Learning from a Converging Supervisor
2019 · 14 citations
Video Prediction Models as Rewards for Reinforcement Learning
2023 · 11 citations
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
2019 · 8 citations
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
2021 · 5 citations
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
2022 · 5 citations
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
2022 · 5 citations
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
2021 · 2 citations
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
2026
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models
2022
Top co-authors
Joseph E. Gonzalez
· 7
Ashwin Balakrishna
· 6
Brijen Thananjeyan
· 5
Ion Stoica
· 4
Alejandro Escontrela
· 3
Michael Luo
· 3
Albert Wilcox
· 2
Chelsea Finn
· 2
Danijar Hafner
· 2
Felix Li
· 2
Francesco Borrelli
· 2
Huang Huang
· 2
Topics
Model-Based RL
Exploration
Value-Based
Policy Gradient
Safe RL
Meta-RL
Offline RL
Multi-Agent
cs.RO
cs.AI