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cs.LG2025
A Review on Single-Problem Multi-Attempt Heuristic Optimization
Judith Echevarrieta, Etor Arza, Aritz Pérez +1
In certain real-world optimization scenarios, practitioners are not interested in solving multiple problems but rather in finding the best solution to a single, specific problem. W…
cs.LG2025
Self-Composing Policies for Scalable Continual Reinforcement Learning
Mikel Malagón, Josu Ceberio, Jose A. Lozano
This work introduces a growable and modular neural network architecture that naturally avoids catastrophic forgetting and interference in continual reinforcement learning. The stru…