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Reinforcement Learning: Actor-Critic Method for Virtual Highway Environment
- The actor-critic method involves actor and critic entities working together in dynamic environment learning.
- Actor takes actions, receives rewards, enters new state, while critic assesses actor's performance.
- Quantifying agent's performance involves calculating advantages and updating actor and critic policies.
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