Simultaneously Updating All Persistence Values in Reinforcement Learning

Luca Sabbioni, Luca Al Daire, Lorenzo Bisi +2

In reinforcement learning, the performance of learning agents is highly sensitive to the choice of time discretization. Agents acting at high frequencies have the best control oppo…