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Richard S. Sutton โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Richard S. Sutton
33
papers ยท
361
citations ยท
67
h-index
Canadian Institute for Advanced Research ยท University of Alberta
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
A Deeper Look at Experience Replay
2017 ยท 186 citations
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
2019 ยท 41 citations
Discounted Reinforcement Learning Is Not an Optimization Problem
2019 ยท 27 citations
Multi-step Off-policy Learning Without Importance Sampling Ratios
2017 ยท 22 citations
Multi-step Reinforcement Learning: A Unifying Algorithm
2017 ยท 18 citations
Learning and Planning in Average-Reward Markov Decision Processes
2020 ยท 15 citations
Learning Sparse Representations Incrementally in Deep Reinforcement Learning
2019 ยท 8 citations
Two geometric input transformation methods for fast online reinforcement learning with neural nets
2018 ยท 7 citations
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling
2018 ยท 6 citations
Per-decision Multi-step Temporal Difference Learning with Control Variates
2018 ยท 6 citations
Average-Reward Off-Policy Policy Evaluation with Function Approximation
2021 ยท 6 citations
Planning with Expectation Models
2019 ยท 5 citations
The Quest for a Common Model of the Intelligent Decision Maker
2022 ยท 5 citations
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
2020 ยท 4 citations
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
2022 ยท 2 citations
Top co-authors
Yi Wan
ยท 6
Kristopher De Asis
ยท 5
Abhishek Naik
ยท 4
Huizhen Yu
ยท 4
Kenny Young
ยท 4
J. Fernando Hernandez-Garcia
ยท 3
Sina Ghiassian
ยท 3
Adam White
ยท 2
Brendan Bennett
ยท 2
Katya Kudashkina
ยท 2
Martha White
ยท 2
Shangtong Zhang
ยท 2
Topics
Value-Based
Model-Based RL
Offline RL
Exploration
Policy Gradient
Multi-Agent
Safe RL
Meta-RL
Game AI
cs.NE