Update.

[picoclvr.git] / escape.py

diff --git a/escape.py b/escape.py
index f51863b..6f4af35 100755 (executable)
--- a/escape.py
+++ b/escape.py
@@ -25,6 +25,33 @@ nb_codes = first_lookahead_rewards_code + nb_lookahead_rewards_codes
 ######################################################################
 
 
+def action2code(r):
+    return first_actions_code + r
+
+
+def code2action(r):
+    return r - first_actions_code
+
+
+def reward2code(r):
+    return first_rewards_code + r + 1
+
+
+def code2reward(r):
+    return r - first_rewards_code - 1
+
+
+def lookahead_reward2code(r):
+    return first_lookahead_rewards_code + r + 1
+
+
+def code2lookahead_reward(r):
+    return r - first_lookahead_rewards_code - 1
+
+
+######################################################################
+
+
 def generate_episodes(nb, height=6, width=6, T=10, nb_walls=3):
     rnd = torch.rand(nb, height, width)
     rnd[:, 0, :] = 0
@@ -111,17 +138,6 @@ def episodes2seq(states, actions, rewards, lookahead_delta=None):
     actions = actions[:, :, None] + first_actions_code
 
     if lookahead_delta is not None:
-        # r = rewards
-        # u = F.pad(r, (0, lookahead_delta - 1)).as_strided(
-        # (r.size(0), r.size(1), lookahead_delta),
-        # (r.size(1) + lookahead_delta - 1, 1, 1),
-        # )
-        # a = u[:, :, 1:].min(dim=-1).values
-        # b = u[:, :, 1:].max(dim=-1).values
-        # s = (a < 0).long() * a + (a >= 0).long() * b
-        # lookahead_rewards = (1 + s[:, :, None]) + first_lookahead_rewards_code
-
-        # a[n,t]=min_s>t r[n,s]
         a = rewards.new_zeros(rewards.size())
         b = rewards.new_zeros(rewards.size())
         for t in range(a.size(1) - 1):