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Giseung Park — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Giseung Park
7
papers ·
7
citations ·
3
h-index
University of Toronto
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Population-Guided Parallel Policy Search for Reinforcement Learning
2020 · 6 citations
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
2024 · 1 citations
Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
2026
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
2026
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
2025
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
2025
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
2021
Top co-authors
Youngchul Sung
· 7
Amir Leshem
· 3
Woohyeon Byeon
· 3
Seongmin Kim
· 2
Elad Havakuk
· 1
Hyunyoung Nam
· 1
Jiwon Jeon
· 1
Jongseong Chae
· 1
Seungyul Han
· 1
Sungho Choi
· 1
Whiyoung Jung
· 1
Woojun Kim
· 1
Topics
Multi-Agent
cs.LG
cs.MA
cs.AI
Policy Gradient
Offline RL
Model-Based RL
Exploration