An Arbitration Control for an Ensemble of Diversified DQN variants in Continual Reinforcement Learning

Wonseo Jang, Dongjae Kim

Deep reinforcement learning (RL) models, despite their efficiency in learning an optimal policy in static environments, easily loses previously learned knowledge (i.e., catastrophi…