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Human Feedback 可以有,但这项研究却表明了「RL」的可替代性。
在学术研究领域,人工智能通常指能够感知周围环境并采取行动以实现最优的可能结果的智能体(intelligent agent)
强化学习是一种试错方法,其目标是让软件智能体在特定环境中能够采取回报最大化的行为。强化学习在马尔可夫决策过程环境中主要使用的技术是动态规划(Dynamic Programming)。流行的强化学习方法包括自适应动态规划(ADP)、时间差分(TD)学习、状态-动作-回报-状态-动作(SARSA)算法、Q 学习、深度强化学习(DQN);其应用包括下棋类游戏、机器人控制和工作调度等。