Tournament selection in zeroth-level classifier systems based on average reward reinforcement learning

no code implementations • 26 Apr 2016 • Zhaoxiang Zang, Zhao Li, Junying Wang, Zhiping Dan

As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) is based on a discounted reward reinforcement learning algorithm, bucket-brigade algorithm, which optimizes the discounted total reward received by an agent but is not suitable for all multi-step problems, especially large-size ones.

reinforcement-learning Reinforcement Learning (RL)