Reinforcement Learning Repository at MSU

Topics: Applications to Planning

The issue of planning is one that is common to Artificial Intelligence methods: an agent must devise a sequence of actions that leads from an initial state to a goal state. However, in the context of RL, planning is often required to be done under uncertainty. This arises from several sources: incomplete knowledge of states and actions, and potentially conflicting objectives.