Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering

Yuki Akiyama, Konstantinos Slavakis

This paper aims at the algorithmic/theoretical core of reinforcement learning (RL) by introducing the novel class of proximal Bellman mappings. These mappings are defined in reprod…