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  • ...d in algorithms such as [[Deep Q-Network]] (DQN), [[Asynchronous Advantage Actor-Critic]] (A3C), and other deep reinforcement learning methods. Experience Replay a ...d computational efficiency: By utilizing batch updates, the agent can take advantage of GPU parallelization for faster learning.
    4 KB (595 words) - 21:55, 18 March 2023
  • | '''[[A3C]]''' || || [[Asynchronous Advantage Actor-Critic]] | '''[[SAC]]''' || || [[Soft Actor-Critic]]
    34 KB (4,201 words) - 04:37, 2 August 2023