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cs.LG2026
On the Generalization Bounds of Symbolic Regression with Genetic Programming
Masahiro Nomura, Ryoki Hamano, Isao Ono
Symbolic regression (SR) with genetic programming (GP) aims to discover interpretable mathematical expressions directly from data. Despite its strong empirical success, the theoret…
cs.LG2024
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
Yukinari Hisaki, Isao Ono
In this paper, we propose an off-policy deep reinforcement learning (DRL) method utilizing the average reward criterion. While most existing DRL methods employ the discounted rewar…