Finite-Time Analysis of Minimax Q-Learning
Narim Jeong, Donghwan Lee
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Lifted Bellman Linear Programming for Offline Reinforcement Learning
Offline reinforcement learning (RL) typically trains a critic by minimizing a regression loss against bootstrapped value targets stabilized by target networks with exponential moving average (EMA) updates. Multi-step targets incorporate behavior-policy actions and therefore require off-policy correction. We instead imp...
Hyukjun Yang, Jongchan Park, Narim Jeong et al.
· 0 citations
Open access
2026
High-Precision Temperature Control in Industrial Evaporation Heaters via Hybrid Reinforcement Learning Approach
A reinforcement learning–based temperature control framework tailored for the evaporation process and successfully closes the gap between RL-based control and conventional PID for nonlinear high-temperature processes.
B. Park, Narim Jeong, Hyukjun Yang et al.
· IEEE Access · 0 citations