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Peter Stone — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Peter Stone
67
papers ·
646
citations ·
80
h-index
Brigham and Women's Hospital
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
2020 · 228 citations
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
2024 · 104 citations
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
2019 · 70 citations
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning
2018 · 34 citations
Conflict-Averse Gradient Descent for Multi-task Learning
2021 · 32 citations
Reinforcement Learning for Optimization of COVID-19 Mitigation policies
2020 · 14 citations
Causal Policy Gradient for Whole-Body Mobile Manipulation
2023 · 11 citations
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
2018 · 10 citations
Data-Efficient Policy Evaluation Through Behavior Policy Search
2017 · 9 citations
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
2018 · 8 citations
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
2020 · 8 citations
Machine versus Human Attention in Deep Reinforcement Learning Tasks
2020 · 8 citations
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
2021 · 8 citations
Models of human preference for learning reward functions
2022 · 8 citations
Robot Representation and Reasoning with Knowledge from Reinforcement Learning
2018 · 6 citations
Top co-authors
Jiaheng Hu
· 6
Scott Niekum
· 6
Caroline Wang
· 5
Garrett Warnell
· 5
Ishan Durugkar
· 5
Josiah P. Hanna
· 5
Roberto Mart\'in-Mart\'in
· 5
Amy Zhang
· 4
Zizhao Wang
· 4
Elad Liebman
· 3
Faraz Torabi
· 3
Matthew E. Taylor
· 3
Topics
Model-Based RL
Exploration
Offline RL
Meta-RL
Value-Based
Multi-Agent
Safe RL
Game AI
Policy Gradient
RLHF & Alignment