Code DAO
Dec 3, 2021 · Artificial Intelligence
Understanding Actor‑Critic and A2C: From Policy Gradients to REINFORCE in RL
This article derives the policy‑gradient objective for discrete actions, implements the Monte‑Carlo REINFORCE algorithm in PyTorch, explains the actor‑critic framework, introduces Advantage Actor‑Critic (A2C) versus A3C, and demonstrates their performance on the OpenAI Gym CartPole‑v0 environment.
A2COpenAI GymPython
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