Commit f5c90ab3 authored by Alexis Brenon's avatar Alexis Brenon
Browse files

馃崚馃敡 Very long expe on synthetic raw data

parent 4562f239
......@@ -27,18 +27,18 @@ local args = {
-- Environments
training_environment = {
class = "smarthome.sweethome.GraphicalAnnotatedSweetHome",
class = "smarthome.sweethome.GraphicalSensorSweetHome",
params = {
map_path = paths.concat("assets", "domus_inferred.svg"),
max_tries = 1,
map_path = paths.concat("assets", "domus.svg"),
history_length=3,
deterministic = true,
},
},
testing_environment = {
class = "smarthome.sweethome.GraphicalAnnotatedSweetHome",
class = "smarthome.sweethome.GraphicalSensorSweetHome",
params = {
map_path = paths.concat("assets", "domus_inferred.svg"),
max_tries = 1,
map_path = paths.concat("assets", "domus.svg"),
history_length = 3,
deterministic = true,
},
},
......@@ -50,46 +50,17 @@ local args = {
preprocess = {
class = "Downsample",
params = {
scale_size = {84,84}
},
},
inference = {
class = "Inference",
params = {
input_size = {1, 84, 84},
conv_layers = {
{
n_filters = 32,
field_size = {width = 8, height = 8},
stride = {width = 4, height = 4},
zero_padding = {width = 0, height = 0}
},
{
n_filters = 64,
field_size = {width = 4, height = 4},
stride = {width = 2, height = 2},
zero_padding = {width = 0, height = 0}
},
{
n_filters = 64,
field_size = {width = 3, height = 3},
stride = {width = 1, height = 1},
zero_padding = {width = 0, height = 0}
}
}
},
},
experience_pool = {
pool_size = 100,
history_length=3,
},
learn_start = 50,
target_q = 100,
update_freq = 1,
minibatch_size = 32,
ep_start = 1,
ep_end = 0.5,
ep_endt = 100000,
}
},
......@@ -97,8 +68,8 @@ local args = {
experiment = {
class = "BaseExperiment",
params = {
steps = 300e3,
eval_freq = 5e3,
steps = 10e6,
eval_freq = 100e3,
eval_steps = 5000,
},
},
......
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