Giseung Park - RankMe

12 papers A* 4Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization. CoRR Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, Youngchul Sung
2025	J	`jnl`	Adaptive multi-model fusion learning for sparse-reward reinforcement learning. Neurocomputing Giseung Park, Whiyoung Jung, Seungyul Han, Sungho Choi, Youngchul Sung
2025	J	`jnl`	Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach. CoRR Woohyeon Byeon, Giseung Park, Jongseong Chae, Amir Leshem, Youngchul Sung
2025	A*	`conf`	Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning. ICLR Giseung Park, Youngchul Sung
2025	J	`jnl`	Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning. CoRR Giseung Park, Youngchul Sung
2024	A*	`conf`	The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm. ICML Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Havakuk, Amir Leshem, Youngchul Sung
2024	J	`jnl`	The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm. CoRR Giseung Park, Woohyeon Byeon, Seongmin Kim, Elad Havakuk, Amir Leshem, Youngchul Sung
2022	A*	`conf`	Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. AAAI Giseung Park, Sungho Choi, Youngchul Sung
2021	J	`jnl`	Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. CoRR Giseung Park, Sungho Choi, Youngchul Sung
2020	A*	`conf`	Population-Guided Parallel Policy Search for Reinforcement Learning. ICLR Whiyoung Jung, Giseung Park, Youngchul Sung
2020	J	`jnl`	Population-Guided Parallel Policy Search for Reinforcement Learning. CoRR Whiyoung Jung, Giseung Park, Youngchul Sung
2018	—	`conf`	5G K-Simulator: Link Level Simulator for 5G. DySPAN Giseung Park, Sangwoo Park, Junyeong Seo, Jungho So, Woowan Wang, Seungmin Yoo, Seung-Chan Lim, Jihoon Chung, Myungsik Cho, Daehan Ha, Joonhyuk Kang, Hyuncheol Park, Youngchul Sung