Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis University of Oxford Matthew T. Jackson

Reinforcement Learning (RL) aims to learn robust policies from an agent's experience. This has the potential for large scale real-world impact in areas such as autonomous driving or improving logistic chains.