About Time: Model-free Reinforcement Learning with Timed Reward Machines

This article likely presents a novel approach to reinforcement learning (RL) by incorporating the concept of time and timed reward machines. The focus is on model-free RL, suggesting the method doesn't rely on a pre-built model of the environment. The use of "timed reward machines" indicates a structured way to define and manage rewards based on temporal aspects of the task. The research likely aims to improve the efficiency, performance, or interpretability of RL algorithms in scenarios where time is a crucial factor.