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reinforcement learning by Policy Improvement with Path Integrals (PI2)
你好,我在跑你代码的过程中发现你dmp系统中 alpha_x 的值设置为8,这样跑的时候 xt 的值并不能随指数从1衰减到0,请问这样设置有什么用途吗?
最近在看路径积分和DMP结合相关的论文,看得很迷糊,想来请教下。DMP,在固定起点和终点的情况下,即使受到噪声干扰,也能正常从起点出发,然后顺利到达终点。这里应用强化学习的目的,是为了让受到干扰的轨迹更加贴近无干扰时的轨迹吗?我刚开始学习,研究您的代码有几天了,试图扩展到多维一直没有成功,方便向您请教一下吗 谢谢。
你好 我最近在学习你的代码,有一个地方不太懂,想请教一下,我看到在DMPOptions中设置了两个时间,这两个时间对PI2和DMP有什么作用和影响吗?谢谢
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