An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning 该论文聚焦于强化学习中线性模型、线性值函数逼近和特征选择的研究,通过理论分析和实验验证,揭示了线性固定点解与线性模型解的等价性,深入剖析了误差来源,并探讨了多种特征选择方法。 线性值函数与线性...
In reinforcement learning, when the state space is enormous or infinite, it is not feasible to find the exact value for each state in the memory. A common way to tackle this problem is to adopt linear value function approximation technique. In this paper, we review some commonly used linear...
In this paper, we develop a linear programming framework for computing a quadratic approximation to the value function, which constitutes the off-line computation of a hierarchical FMS scheduling approach previously developed by us. In contrast to previous work, where relatively crude value functions ...
Least-Square Value Iteration (LSVI) 假设transition function 已知,那么要求解 optimal Q function,只需要依照如下更新方式按 h=H, \cdots, 1 撸一遍就好了(动态规划)。 但是实际上 transition function 是不知道的,因此只能在估计的样本上最小化上式左边和右边之间的 MSE;同时,当状态空间、动作空间很大时,很...
Model-Free Value Function Approximation Then we go back to reality, realizing the oracle does not help us, which means the only method we can count on is Model-Free algorithm. So we firstly use Monte Carlo, modifying the SGD equation to the following form: ...
function sys = myCustomFunction(BlockData) Td = BlockData.Parameters(1).Value; Ts = BlockData.Parameters(2).Value; sys = BlockData.BlockLinearization*Thiran(Td,Ts); end Save this function to a location on the MATLAB path. To use this function as a custom linearization for a block or ...
The linear transfer function calculates the neuron's output by simply returning the value passed to it. α=purelin(n)=purelin(Wp+b)=Wp+b This neuron can be trained to learn an affine function of its inputs, or to find a linear approximation to a nonlinear function. A linear network cann...
2. Enter a numeric value for x0. The calculator does not accept “pi”, so enter values in degrees when required and the calculator will convert it to radians accordingly. For example, to test linear approximation at a point “pi/2”, please enter “90”. 3. Verify that your function...
An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-app... R Parr,L Li,G Taylor,...
In this paper, we apply this idea to POMDPs, by using the same approximation for the individual value-function vectors that comprise the POMDP value function. In this section, we show how the value and policy iteration algorithms for factored POMDPs can exploit this compact representation for ...