○ unseen · kind algorithm · level 0 · 0h
- Requiere: Policy Gradient
Learn a policy and a value function together — the family (A2C, PPO) behind most modern deep RL.
The actor-critic algorithm (AC) is a family of Reinforcement Learning (RL) algorithms that combine policy-based RL algorithms such as Policy Gradient methods, and value-based RL algorithms such as value iteration, Q-Learning, SARSA, and TD learning.
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- Requiere: Policy Gradient