Policy vs Plan

Youtube search... ...Google search

• Policy Gradient (PG)
• Trust Region Policy Optimization (TRPO)
• Proximal Policy Optimization (PPO)
• Reinforcement Learning (RL)
• Gradient Descent Optimization & Challenges

A plan will be a a strictly defined sequence of actions leading from the initial state to the goal (well it can be more complex than that if you have concurrency but this is still the basic idea); A policy on the other hand will be defined by a set of pair "state -> action" which should allow from any reachable state.

Policy vs Strategy

In a reinforcement learning context, a policy is a description of how an agent behaves in an environment, and is represented as the probability of performing each action for a given state. I don’t think strategy has a definition specific to the field, but I think it refers to some underlying mechanism/algorithm that drives an agent’s behavior. This can range from things like whether or not it does any planning, or motivation to explore new states. | Kris De Asis - Quora