Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning

no code implementations • 22 Dec 2016 • Wendelin Böhmer, Rong Guo, Klaus Obermayer

This paper investigates a type of instability that is linked to the greedy policy improvement in approximated reinforcement learning.

reinforcement-learning Reinforcement Learning (RL)