use experimental config/network

config.lua

@@ -53,27 +53,28 @@ local common_cfg = {
 }
 
 local cfg = {
-    log_fn = 'logs-xnes.csv',
-    params_fn = 'params-xnes.txt',
+    log_fn = 'logs-snes.csv',
+    params_fn = 'params-snes.txt',
 
     decrement_reward = true,
     score_multiplier = 5,
 
-    starting_world = 1,
+    starting_world = 0,
     starting_level = 1,
-    starting_lives = 1,
+    --starting_lives = 1,
     cap_time = 300,
 
-    deterministic = true,
+    deterministic = false, --true,
 
-    epoch_trials = 50,
+    epoch_trials = 32,
     epoch_top_trials = 9999,
-    negate_trials = false,
+    negate_trials = true,
 
-    es = 'xnes',
-    learning_rate = 0.14,
-    deviation = 1.0,
-    weight_decay = 0.0,
+    es = 'snes',
+    learning_rate = 0.5,
+    mean_adapt = 0.5,
+    deviation = 0.5,
+    weight_decay = 0.025,
 }
 
 -- TODO: so, uhh..

main.lua

@@ -148,10 +148,13 @@ local function make_network(input_size)
     nn_x = nn.Input({input_size})
     nn_tx = nn.Input({gcfg.tile_count})
     nn_ty = nn_tx:feed(nn.Embed(#game.valid_tiles, 2))
-    nn_tz = nn_ty:feed(nn.Reshape{13, 17 * 2})
-    nn_tz = nn_tz:feed(nn.DenseBroadcast(5))
-    nn_tz = nn_tz:feed(nn.Relu())
+
+    nn_tz = nn_ty
+    --nn_tz = nn_tz:feed(nn.Reshape{13, 17 * 2})
+    --nn_tz = nn_tz:feed(nn.DenseBroadcast(5))
+    --nn_tz = nn_tz:feed(nn.Relu())
     -- note: due to a quirk in Merge, we don't need to flatten nn_tz.
+
     nn_y = nn.Merge()
     nn_x:feed(nn_y)
     nn_tz:feed(nn_y)