In [1]:

    

using JLD
using Multilane
using POMDPs
using MCTS
using DataFrames
using DataFramesMeta


    

In [2]:

    

results = load("../data/random_periods.jld")
@where(results["stats"], :time_to_lane .== 138.0)


    

    
Out[2]:




id
uuid
solver_key
problem_key
initial_key
rng_seed
time
reward
brake_thresh
lambda
nb_brakes
steps_to_lane
time_to_lane
steps_in_lane
steps
crash
vel_sigma
1
30
75896167318929652242737391457942643866
random
eUvEUsEg
wbNTilaR
30
1.470100137713681e9
-1490.0
2.5
10.0
15
184
138.0
1
184
false
0.0
2
58
166519622417990557558031317867226002442
random
eUvEUsEg
ZDx1juRZ
58
1.470100137713681e9
-1390.0
2.5
10.0
14
184
138.0
1
184
false
0.0
3
80
226898399823970017215985797242408123763
random
eUvEUsEg
Zf7ocg5z
80
1.470100137713681e9
-1790.0
2.5
10.0
18
184
138.0
1
184
false
0.0
4
105
221140434010781105279085408653248446710
random
eUvEUsEg
jkirtfFl
105
1.470100137713681e9
-90.0
2.5
10.0
1
184
138.0
1
184
false
0.0
5
109
184962696308132062911375789615519550408
random
eUvEUsEg
vz4l0LxC
109
1.470100137713681e9
-190.0
2.5
10.0
2
184
138.0
1
184
false
0.0
6
166
196702660038312521371069159508607690139
random
eUvEUsEg
Foeuf7MQ
166
1.470100137713681e9
-390.0
2.5
10.0
4
184
138.0
1
184
false
0.0
7
167
200707299143638027520374486980016957639
random
eUvEUsEg
h2YMs3Zg
167
1.470100137713681e9
-790.0
2.5
10.0
8
184
138.0
1
184
false
0.0
8
195
19834215454004599175571913048724810998
random
eUvEUsEg
AiKD9RA0
195
1.470100137713681e9
-90.0
2.5
10.0
1
184
138.0
1
184
false
0.0
9
203
219109791300834461530588226739209201613
random
eUvEUsEg
TIHfwu3z
203
1.470100137713681e9
-590.0
2.5
10.0
6
184
138.0
1
184
false
0.0
10
223
146600244616735854469414735306745156858
random
eUvEUsEg
Q4OlmUUy
223
1.470100137713681e9
-1990.0
2.5
10.0
20
184
138.0
1
184
false
0.0
11
243
259911956885574078904121599742819235436
random
eUvEUsEg
guremcQu
243
1.470100137713681e9
-1490.0
2.5
10.0
15
184
138.0
1
184
false
0.0
12
257
204652816303029622031225840607874397188
random
eUvEUsEg
MsXcHbRP
257
1.470100137713681e9
-1290.0
2.5
10.0
13
184
138.0
1
184
false
0.0
13
291
49590317384996312402729308789072391277
random
eUvEUsEg
ZGgxCJkP
291
1.470100137713681e9
-390.0
2.5
10.0
4
184
138.0
1
184
false
0.0
14
293
311837240295319777702142826047395653046
random
eUvEUsEg
DN9qH0fu
293
1.470100137713681e9
-490.0
2.5
10.0
5
184
138.0
1
184
false
0.0
15
304
31102540549188722569928487767901242627
random
eUvEUsEg
sT8gwHGC
304
1.470100137713681e9
-1290.0
2.5
10.0
13
184
138.0
1
184
false
0.0
16
309
18724730257160532717129294644046106971
random
eUvEUsEg
54cVFbPQ
309
1.470100137713681e9
-1490.0
2.5
10.0
15
184
138.0
1
184
false
0.0
17
325
64820873913141917566408742641915049832
random
eUvEUsEg
kB5BfENQ
325
1.470100137713681e9
-890.0
2.5
10.0
9
184
138.0
1
184
false
0.0
18
333
155921938868670082900478602297959676655
random
eUvEUsEg
iE4YyOvj
333
1.470100137713681e9
-1790.0
2.5
10.0
18
184
138.0
1
184
false
0.0
19
348
193455387872999526692590541734689735346
random
eUvEUsEg
YbRQeWAW
348
1.470100137713681e9
-2090.0
2.5
10.0
21
184
138.0
1
184
false
0.0
20
352
54973968898950910438886458034563429571
random
eUvEUsEg
zSFP6cCy
352
1.470100137713681e9
-690.0
2.5
10.0
7
184
138.0
1
184
false
0.0
21
354
252356913755279029943861645253394992050
random
eUvEUsEg
9OpCKhIP
354
1.470100137713681e9
-990.0
2.5
10.0
10
184
138.0
1
184
false
0.0
22
380
109011789033323902008186278183480631974
random
eUvEUsEg
iauMJExQ
380
1.470100137713681e9
-2790.0
2.5
10.0
28
184
138.0
1
184
false
0.0
23
486
22727790771040458881613782609609860204
random
eUvEUsEg
B1z3fryM
486
1.470100137713681e9
-590.0
2.5
10.0
6
184
138.0
1
184
false
0.0
24
555
169211719605242045297656180887155550806
random
eUvEUsEg
SCUIO7wu
555
1.470100137713681e9
-890.0
2.5
10.0
9
184
138.0
1
184
false
0.0
25
558
25610236258164498284162623050024684893
random
eUvEUsEg
TRxcSkvz
558
1.470100137713681e9
-3490.0
2.5
10.0
35
184
138.0
1
184
false
0.0
26
692
89740741269351887678407907182143873475
random
eUvEUsEg
6NDtHZvb
692
1.470100137713681e9
-990.0
2.5
10.0
10
184
138.0
1
184
false
0.0
27
745
122356361924670980154095779074166607731
random
eUvEUsEg
kwE2aiIr
745
1.470100137713681e9
-1590.0
2.5
10.0
16
184
138.0
1
184
false
0.0
28
749
304474495169911519109760835765424357134
random
eUvEUsEg
z4zAU9dP
749
1.470100137713681e9
-1090.0
2.5
10.0
11
184
138.0
1
184
false
0.0
29
804
178510860268715803506266414291278643445
random
eUvEUsEg
nnor3zdg
804
1.470100137713681e9
-1290.0
2.5
10.0
13
184
138.0
1
184
false
0.0
30
926
146681323288386588170028853292035582301
random
eUvEUsEg
MxCl0Ch5
926
1.470100137713681e9
-890.0
2.5
10.0
9
184
138.0
1
184
false
0.0
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip
&vellip

In [3]:

    

problem, sim, policy = rerun(results, 30);


    

In [4]:

    

display_sim(problem, sim)
# filename = write_tmp_gif(problem, sim)
# run(`gifview $filename`)


    

    












    




WARNING: This should be run in a Jupyter Notebook






    
Out[4]:

In [5]:

    

step = 1


    

    




WARNING: imported binding for step overwritten in module Main






    
Out[5]:





1

In [6]:

    

visualize(problem, sim.state_hist[step], sim.action_hist[step], sim.state_hist[step+1]);


    

In [ ]: