From 72c69df1274bd2b2e24160b8cf7c2f0e25441683 Mon Sep 17 00:00:00 2001
From: Erik Nygren <erik.nygren@sbb.ch>
Date: Sun, 5 May 2019 12:33:15 +0200
Subject: [PATCH] minor test in navigation training
---
examples/training_navigation.py | 12 ++++++++----
flatland/envs/generators.py | 2 +-
2 files changed, 9 insertions(+), 5 deletions(-)
diff --git a/examples/training_navigation.py b/examples/training_navigation.py
index ddf10b10..47487086 100644
--- a/examples/training_navigation.py
+++ b/examples/training_navigation.py
@@ -12,19 +12,23 @@ np.random.seed(1)
# Example generate a rail given a manual specification,
# a map of tuples (cell_type, rotation)
transition_probability = [5, # empty cell - Case 0
- 15, # Case 1 - straight
+ 1, # Case 1 - straight
5, # Case 2 - simple switch
1, # Case 3 - diamond crossing
1, # Case 4 - single slip
1, # Case 5 - double slip
1, # Case 6 - symmetrical
- 0] # Case 7 - dead end
+ 0, # Case 7 - dead end
+ 15, # Case 1b (8) - simple turn right
+ 15, # Case 1c (9) - simple turn left
+ 15] # Case 2b (10) - simple switch mirrored
+
# Example generate a random rail
env = RailEnv(width=10,
height=10,
rail_generator=random_rail_generator(cell_type_relative_proportion=transition_probability),
- number_of_agents=1)
+ number_of_agents=3)
"""
env = RailEnv(width=20,
height=20,
@@ -57,7 +61,7 @@ action_prob = [0] * 4
agent = Agent(state_size, action_size, "FC", 0)
agent.qnetwork_local.load_state_dict(torch.load('../flatland/baselines/Nets/avoid_checkpoint14900.pth'))
-demo = True
+demo = False
def max_lt(seq, val):
diff --git a/flatland/envs/generators.py b/flatland/envs/generators.py
index fed79017..baba6baa 100644
--- a/flatland/envs/generators.py
+++ b/flatland/envs/generators.py
@@ -250,7 +250,7 @@ def random_rail_generator(cell_type_relative_proportion=[1.0] * 8):
transitions_templates_ = []
transition_probabilities = []
- for i in range(len(t_utils.transitions) - 4): # don't include dead-ends
+ for i in range(len(t_utils.transitions)-4): # don't include dead-ends
all_transitions = 0
for dir_ in range(4):
trans = t_utils.get_transitions(t_utils.transitions[i], dir_)
--
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