Jihwan Oh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Environmental Factors

Exploration Exploitation

Reinforcement Learning

Likelihood Maximization

Top Venues

Stat. Anal. Data Min.

Publications

Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Seyoung Yun
Preference Alignment with Flow Matching. CoRR (2024)
Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
Integrative learning of structured high-dimensional data from multiple datasets. Stat. Anal. Data Min. 16 (2) (2023)
Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Seyoung Yun
The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions. IEEE Access 11 (2023)
Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR (2023)
Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop (2022)
Jihwan Oh, Joonkee Kim, Se-Young Yun
Risk Perspective Exploration in Distributional Reinforcement Learning. CoRR (2022)
Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. CoRR (2022)
Changgee Chang, Jihwan Oh, Qi Long
GRIA: Graphical Regularization for Integrative Analysis. SDM (2020)
Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long
Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. ICBK (2019)
Miriam Chappelka, Jihwan Oh, Dorris Scott, Mizzani Walker-Holmes
Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program. CoRR (2017)