Anticipatory Classifier System With Episode-Based Experience Replay
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269879
Abstract: Deep reinforcement learning with Experience Replay (ER), including Deep Q-Network (DQN), has been used to solve many multi-step learning problems. However, in practice, DQN algorithms need better explainability, which limits their applicability in many scenarios.… read more here.
Keywords: episode based; classifier system; anticipatory classifier; replay ... See more keywords
Anticipatory Classifier System with Average Reward Criterion in Discretized Multi-Step Environments
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11031098
Abstract: Initially, Anticipatory Classifier Systems (ACS) were designed to address both single and multistep decision problems. In the latter case, the objective was to maximize the total discounted rewards, usually based on Q-learning algorithms. Studies on… read more here.
Keywords: system; system average; anticipatory classifier; reward criterion ... See more keywords