Giseung Park

4 papers · 2020–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)

Venues

ICLR (2) AAAI (1) ICML (1)

Top co-authors

Youngchul Sung (4) Elad Havakuk (1) Seongmin Kim (1) Woohyeon Byeon (1) Sungho Choi (1) Whiyoung Jung (1) Amir Leshem (1)

Research topics

Reinforcement Learning (4) Methods (4) Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Types · Deep Learning (1)

Keywords

multi-objective reinforcement learning (2) reinforcement learning (2) online learning (1) policy gradient (1) fairness (1) importance sampling (1) policy search (1) partially observable markov decision process (1) off-policy learning (1) pareto optimality (1) partially observable markov decision (1) latent variable (1) experience replay (1) performance improvement (1) model-free algorithm (1) sequential model learning (1) blockwise learning (1) policy performance (1) reward dimension reduction (1) theory (1)

Papers

Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning ICLR 2025 The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm ICML 2024 Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning AAAI 2022 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020