3 papers
cs.LG2026
Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement Learning
Ekasit Usaratniwart, Xilin Gao, Marc Ong +1
Reinforcement learning (RL) often suffers from performance degradation when deployed in environments that differ from those encountered during training. Existing techniques such as…
cs.NE2026
Mixed-Categorical Black-Box Optimization via Information-Geometric Bilevel Decomposition
Marc Ong, Shinichi Shirakawa, Youhei Akimoto
Mixed categorical-continuous optimization arises in many practical domains, yet remains challenging. In the black-box setting, evolution strategy-based approaches have shown promis…
cs.NE2026
Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
Marc Ong, Youhei Akimoto
Bilevel optimization is a field of significant theoretical and practical interest, yet solving such optimization problems remains challenging. Evolutionary methods have been employ…