algorithms = {}
algorithms['oracleLinUCB'] = oracleLinUCB(
dimension=config["context_dimension"],
alpha=config["alpha"],
lambda_=config["lambda_"],
NoiseScale=config["NoiseScale"],
delta_1=config["delta_1"])
algorithms['adTS'] = AdaptiveThompson(
dimension=config["context_dimension"],
AdTS_Window=config["AdTS_Window"],
AdTS_CheckInter=50,
v=config["v"])
algorithms['dLinUCB'] = dLinUCB(dimension=config["context_dimension"],
alpha=config["dLinUCB_alpha"],
lambda_=config["lambda_"],
NoiseScale=config["NoiseScale"],
tau=config["tau"],
delta_1=config["delta_1"],
delta_2=config["delta_2"],
tilde_delta_1=config["tilde_delta_1"])
algorithms['DenBand'] = DenBand(dimension=config["context_dimension"],
alpha=config["dLinUCB_alpha"],
lambda_=config["lambda_"],
NoiseScale=config["NoiseScale"],
tau=config["tau"],
delta_1=config["delta_1"],
delta_2=config["delta_2"],
tilde_delta_1=config["tilde_delta_1"],
delta_L=config["tilde_delta_1"],
age_threshold=int(args.T) / 2)
algorithms['DyClu'] = DyClu(dimension=config["context_dimension"],
alpha=config["alpha"],
poolArticleSize=poolSize,
NoiseScale=NoiseScale,
Write_to_File=False)
print "Starting for ", simExperiment.simulation_signature
algorithms = {}
if not args.alg:
algorithms['LinUCB'] = LinUCB(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
NoiseScale=NoiseScale)
#algorithms['adTS'] = AdaptiveThompson(dimension = context_dimension, AdTS_Window = 200, AdTS_CheckInter = 50, sample_num = 1000, v = 0.1)
algorithms['dLinUCB'] = dLinUCB(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
NoiseScale=NoiseScale,
tau=tau)
elif algName == 'LinUCB':
algorithms['LinUCB'] = LinUCB(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
NoiseScale=NoiseScale)
#elif algName == 'adTS':
#algorithms['adTS'] = AdaptiveThompson(dimension = context_dimension, AdTS_Window = 200, AdTS_CheckInter = 50, sample_num = 1000, v = 0.1)
else:
algorithms['dLinUCB'] = dLinUCB(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
NoiseScale=NoiseScale,