2 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.NE2025
Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables
Youhei Akimoto, Xilin Gao, Ze Kai Ng +1
Optimization of mixed categorical-continuous variables is prevalent in real-world applications of black-box optimization. Recently, CatCMA has been proposed as a method for optimiz…