2017
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning
ICLR 2017poster
Reinforcement Learning algorithms can learn complex behavioral patterns for sequential decision making tasks wherein an agent interacts with an environment and acquires feedback in the form of rewards sampled from it. Traditionally, such algorithms make decisions, i.e., select actions to execute, at…