Temporal Alignment for History Representation in Reinforcement Learning

Aleksandr Ermolov, Enver Sangineto, Nicu Sebe

Environments in Reinforcement Learning are usually only partially observable. To address this problem, a possible solution is to provide the agent with information about the past.…