State-Novelty Guided Action Persistence in Deep Reinforcement Learning

Jianshu Hu, Paul Weng, Yutong Ban

While a powerful and promising approach, deep reinforcement learning (DRL) still suffers from sample inefficiency, which can be notably improved by resorting to more sophisticated…