第一个for循环是对每个样本进行遍历,第二个for循环是从root节点到leaf(或者从leaf到root)节点遍历,这使得算法没有很好利用如pytorch、numpy等工具的并行计算(广播机制),因此速度较慢。 P.S. 作者所说的 O\log(N) 的计算复杂度,应该是针对第二个for循环而言。 3.6 能否使用torch.multinomial()或numpy.random.ch...
Prioritized Experience Replay (PER) implementation in PyTorch pytorchdqnprioritized-experience-replay UpdatedFeb 3, 2020 Python BY571/Soft-Actor-Critic-and-Extensions Star266 PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchaus...
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...
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL - higgsfield/RL-Adventure