td0 = td.LinearTDLambda(alpha=alpha, lam=lam, phi=phi, gamma=gamma)
td0.name = r"TD({}) $\alpha$={}".format(lam, alpha)
td0.color = "k"
methods.append(td0)
lam = 1.
alpha = 0.004
mu = 0.0001
tdc = td.TDCLambda(alpha=alpha, mu=mu, lam=lam, phi=phi, gamma=gamma)
tdc.name = r"TDC({}) $\alpha$={} $\mu$={}".format(lam, alpha, mu)
tdc.color = "b"
methods.append(tdc)
alpha = .5
lam = 0.0
lstd = td.RecursiveLSPELambda(lam=lam, alpha=alpha, phi=phi, gamma=gamma)
lstd.name = r"LSPE({}) $\alpha$={}".format(lam, alpha)
lstd.color = "g"
methods.append(lstd)
lam = 0.0
eps = 100000
lstd = td.RecursiveLSTDLambda(lam=lam, eps=eps, phi=phi, gamma=gamma)
lstd.name = r"LSTD({}) $\epsilon$={}".format(lam, eps)
lstd.color = "g"
lstd.ls = "-."
methods.append(lstd)
#
alpha = .3
beta = 100.
mins = 0
lam = .8
eps = 10000
lstd = td.RecursiveLSTDLambda(lam=lam, eps=eps, phi=phi)
lstd.name = r"LSTD({})".format(lam)
methods.append(lstd)
lam = .0
eps = 100
lstd = td.RecursiveLSTDLambda(lam=lam, eps=eps, phi=phi)
lstd.name = r"LSTD({})".format(lam)
methods.append(lstd)
lam = .8
alpha = 1.
lspe = td.RecursiveLSPELambda(lam=lam, alpha=alpha, phi=phi)
lspe.name = r"LSPE({}) $\alpha$={}".format(lam, alpha)
methods.append(lspe)
lam = .0
alpha = .01
beta = 1000
mins = 0
lstd = td.FPKF(lam=lam, alpha=alpha, beta=beta, mins=mins, phi=phi)
lstd.name = r"FPKF({}) $\alpha={}$ $\beta={}$".format(lam, alpha, beta)
lstd.ls = "--"
methods.append(lstd)
brm = td.RecursiveBRMDS(phi=phi)
brm.name = "BRMDS"
brm.color = "b"