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Joseph E. Gonzalez — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Joseph E. Gonzalez
51
papers ·
1297
citations ·
61
h-index
Complexo Hospitalario Universitario A Coruña · University of California, Berkeley
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Most-cited papers
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · 332 citations
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
2018 · 169 citations
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
2020 · 20 citations
Accelerating Quadratic Optimization with Reinforcement Learning
2021 · 20 citations
Multi-Agent Collaboration via Reward Attribution Decomposition
2020 · 19 citations
BeBold: Exploration Beyond the Boundary of Explored Regions
2020 · 18 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
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
2023 · 9 citations
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
2019 · 8 citations
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
2020 · 4 citations
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
2021 · 4 citations
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
2021 · 3 citations
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
2021 · 2 citations
Spectral Decomposition Representation for Reinforcement Learning
2022 · 1 citations
Top co-authors
Ken Goldberg
· 7
Ion Stoica
· 6
Tianjun Zhang
· 5
Ashwin Balakrishna
· 4
Michael Luo
· 3
Sergey Levine
· 3
Connor Chen
· 2
Felix Li
· 2
Huazhe Xu
· 2
Kurt Keutzer
· 2
Michael I. Jordan
· 2
Pieter Abbeel
· 2
Topics
Model-Based RL
Value-Based
Exploration
Meta-RL
Policy Gradient
Multi-Agent
Safe RL
Game AI
Offline RL
RLHF & Alignment