Reinforced Linear Genetic Programming
Reinforced Linear Genetic Programming (RLGP) combines Linear Genetic Programming (LGP) with Q-Learning to find optimal register-action assignments for solving complex optimization problems like cartpole and mountain car environments. RLGP aims to improve adaptation to changing environments by using reinforcement signals, though results showed LGP was better for continuous control tasks. The integration of Q-Learning may not always improve performance in these scenarios.