Generalized Policy Iteration

New RL operator tackles approximate evaluation for optimal policy improvement

Researchers have developed a novel operator for optimal policy improvement in reinforcement learning (RL) that addresses the challenge of approximate evaluation. This new operator formulates greedification under uncerta…