之前有看过hindsight experience replay(HER)论文,其中用到的核心思想来自于这篇Universal Value Function Approximators(通用价值函数近似器),因此准备回过头好好看看这篇文章。 摘要:价值函数是强化学习系统的一个核心组成部分。其主要思想是构建一个单一的函数近似器V(s;θ),使用参数θ估计任何状态s的长期奖励。在本文...
Universal Value Function Approximators 动机 值函数是强化学习中的重要概念,学习到一个好的值函数是强化学习中的核心问题。普通的值函数通常表达了全局目标下的奖励。文章中采用之前工作中提出的Genaral Value Function(GVF),通过引入目标goal,定义了广义值函数 Vg(s) ,表达了局部目标goal的奖励,能更好的利用当前环境...
价值函数是强化学习中在与环境交互中的一种知识的表达方式,用来指引Agent完成指定的任务。要想Agent能够完成多种任务,具有一个通用的价值函数是必不可少的,该论文提出了一种基于目标的价值函数(UVFA V (s; g; …
为了实现这个目标,本文考虑的方法是先在一个任务空间上对若干个不同任务进行训练,假设这些任务和新任务在任务空间中服从同一概率分布,则训练出来的模型就可以很好地迁移到新任务上了。 以上是一个常用的思路,但是在这篇文章中,作者采用 universal value function approximators (UVFAs) 技术,并且结合 successor features...
playing around with universal successor feature approximators (USFAs), universal value function approximators (UVFAs), successor features and generalized policy iteration (SF&GPI) - tomov/MTRL
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate... JR Castro,O Castillo,P Melin,... 被引量: 3发表: 2011年 The universal approximation theorem for complex-valued neural networks We...
It is widely known that neural networks (NNs) are universal approximators of continuous functions. However, a less known but powerful result is that a NN with a single hidden layer can accurately approximate any nonlinear continuous operator. This universal approximation theorem of operators is sugges...
Since neural networks are universal approximators [72], they can represent the full range of possible functions that could fit the available data. By training multiple iterations of a UDE model and analyzing their trajectories, we can see a range of feasible outcomes for the system with just ...
Fig. 1: Universal flat-optics approximators: general idea. a Problem setup composed of a flat optical surface constituted by resonant nanostructures: b with input si and output so scattered waves. (i) Dependency of the number of resonances on the dimensions of a nanostructure. c Block diagram ...
2. Universal Value Function Approximators (UVFAs) UVFA(读作“YOU-fah”)是传统值函数拟合器的推广 [4]。传统的值函数拟合器可以用 V(s; \theta) 来表示,针对的是一个特定的任务, \theta 表示值函数的参数。一旦任务发生变化,导致奖励函数也发生变化,则已经拟合出来的参数 \theta^* 就会失效。 而UVFA...