使用Experience Replay(经验回放)的 DRL算法可以在某种程度上看做在replay buffer上做监督学习,改变buffer中数据的优先级后,显然改变了数据的分布,这将为训练引入bias,让算法收敛到不同的结果。同时,这个bias是我们不可控的,可能会影响收敛。为解决这个问题,作者提出使用 Important Sampling (IS) 来修复这个bias: w_...
Jul 8, 2019 prioritized_memory.py add abs to error Jul 8, 2019 View all files Repository files navigation README MIT license per PER(Prioritized Experience Replay) implementation in PyTorch Releases No releases published Packages No packages published...
Atari others- change hyperparameters, target network update frequency=10K, replay buffer size=1M If you get stuck… Remember you are not stuck unless you have spent more than a week on a single algorithm. It is perfectly normal if you do not have all the required knowledge of mathematics an...