Mikel Malagon

Self-Composing Policies for Scalable Continual Reinforcement Learning

This work introduces a growable and modular neural network architecture that naturally avoids catastrophic forgetting and interference in continual reinforcement learning. The structure of each module allows the selective combination of previous policies along with its internal policy accelerating t…