What do RL, Deep RL and IRL mean?

RL(Reinforcement learning) – An agent takes actions, and learns by maximizing the reward.

Deep RL – The model for an agent to take action is formed by a deep neural network. This enables the agent to have more complex behaviors.

IRL (Inverse Reinforcement learning) – An agent learns the reward function from the experiences.

Definition:

An easy-to-understand example:

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