シナリオ
Illustrates the iterative process of a deep Q-network (DQN) agent training in a game environment, from initialization to model saving.
この図に含まれるもの
図の背後にある意思決定を読み解く。
01
Is the replay buffer large enough to sample?
02
Should the target network be updated?
03
Has the episode terminated?
04
Have max episodes been reached?
When designing or explaining reinforcement learning training pipelines, particularly for game AI or simulation-based agents using experience replay.