uber-research / evograd Goto Github PK

View Code? Open in Web Editor NEW

179.0 179.0 25.0 13 KB

License: Other

Python 100.00%

evograd's People

Contributors

Stargazers

Watchers

evograd's Issues

UnicodeDecodeError while installing Evograd from source

Hi,
I'm trying to install Evograd from source by following the README instructions.
The error I get is:

ERROR: Command errored out with exit status 1:
 command: /Users/djgr/code/modular_rl/.virtual/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/Users/djgr/code/EvoGrad/setup.py'"'"'; __file__='"'"'/Users/djgr/code/EvoGrad/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info
     cwd: /Users/djgr/code/EvoGrad/
Complete output (7 lines):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/djgr/code/EvoGrad/setup.py", line 14, in <module>
    long_description = fh.read()
  File "/Users/djgr/code/modular_rl/.virtual/bin/../lib/python3.6/encodings/ascii.py", line 26, in decode
    return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 1335: ordinal not in range(128)
----------------------------------------

ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

Pip version is 19.2.2, and Python is 3.6.

Thanks a lot.

Cannot find evograd on pip

Hi,
I'm trying to install EvoGrad but pip can't find it.
My pip version is 19.2.2, and Python is 3.6.
I get the

$> pip install evograd
Collecting evograd
ERROR: Could not find a version that satisfies the requirement evograd (from versions: none)
ERROR: No matching distribution found for evograd

Strange behavior in cartpole.py

Hi,

When running cartpole.py, I get the following (go to step 119):

% python cartpole.py
INFO:evograd.noise:Sampling 10000000 random numbers with seed 42
INFO:evograd.noise:Sampled 40000000 bytes
/Users/tcf/anaconda3/envs/evo/lib/python3.7/site-packages/gym/logger.py:30: UserWarning: WARN: Box bound precision lowered by casting to float32
  warnings.warn(colorize('%s: %s'%('WARN', msg % args), 'yellow'))
step: 0, mean fitness: 120.77
step: 1, mean fitness: 124.54
step: 2, mean fitness: 132.03
step: 3, mean fitness: 136.29
step: 4, mean fitness: 137.41
step: 5, mean fitness: 126.86
step: 6, mean fitness: 146.96
step: 7, mean fitness: 150.17
step: 8, mean fitness: 154.71
step: 9, mean fitness: 152.27
step: 10, mean fitness: 159.49
step: 11, mean fitness: 163.4
step: 12, mean fitness: 162.69
step: 13, mean fitness: 159.5
step: 14, mean fitness: 150.78
step: 15, mean fitness: 165.73
step: 16, mean fitness: 169.43
step: 17, mean fitness: 176.08
step: 18, mean fitness: 166.3
step: 19, mean fitness: 178.74
step: 20, mean fitness: 181.06
step: 21, mean fitness: 181.42
step: 22, mean fitness: 182.07
step: 23, mean fitness: 175.19
step: 24, mean fitness: 181.09
step: 25, mean fitness: 178.61
step: 26, mean fitness: 184.12
step: 27, mean fitness: 185.27
step: 28, mean fitness: 184.36
step: 29, mean fitness: 181.19
step: 30, mean fitness: 184.31
step: 31, mean fitness: 182.96
step: 32, mean fitness: 188.73
step: 33, mean fitness: 188.25
step: 34, mean fitness: 189.97
step: 35, mean fitness: 193.47
step: 36, mean fitness: 191.24
step: 37, mean fitness: 192.58
step: 38, mean fitness: 187.92
step: 39, mean fitness: 188.66
step: 40, mean fitness: 189.48
step: 41, mean fitness: 191.93
step: 42, mean fitness: 191.03
step: 43, mean fitness: 191.72
step: 44, mean fitness: 191.17
step: 45, mean fitness: 192.76
step: 46, mean fitness: 192.89
step: 47, mean fitness: 191.14
step: 48, mean fitness: 196.5
step: 49, mean fitness: 194.53
step: 50, mean fitness: 191.08
step: 51, mean fitness: 193.84
step: 52, mean fitness: 195.39
step: 53, mean fitness: 194.18
step: 54, mean fitness: 191.56
step: 55, mean fitness: 193.55
step: 56, mean fitness: 195.62
step: 57, mean fitness: 190.07
step: 58, mean fitness: 194.5
step: 59, mean fitness: 199.6
step: 60, mean fitness: 195.21
step: 61, mean fitness: 193.79
step: 62, mean fitness: 194.38
step: 63, mean fitness: 198.5
step: 64, mean fitness: 198.08
step: 65, mean fitness: 197.03
step: 66, mean fitness: 193.46
step: 67, mean fitness: 195.71
step: 68, mean fitness: 197.98
step: 69, mean fitness: 192.48
step: 70, mean fitness: 198.83
step: 71, mean fitness: 199.3
step: 72, mean fitness: 197.35
step: 73, mean fitness: 199.26
step: 74, mean fitness: 198.08
step: 75, mean fitness: 195.37
step: 76, mean fitness: 199.07
step: 77, mean fitness: 198.37
step: 78, mean fitness: 199.12
step: 79, mean fitness: 194.08
step: 80, mean fitness: 198.94
step: 81, mean fitness: 197.03
step: 82, mean fitness: 199.53
step: 83, mean fitness: 198.38
step: 84, mean fitness: 195.94
step: 85, mean fitness: 198.77
step: 86, mean fitness: 199.41
step: 87, mean fitness: 195.99
step: 88, mean fitness: 197.38
step: 89, mean fitness: 195.78
step: 90, mean fitness: 197.69
step: 91, mean fitness: 199.55
step: 92, mean fitness: 199.54
step: 93, mean fitness: 197.72
step: 94, mean fitness: 197.13
step: 95, mean fitness: 192.07
step: 96, mean fitness: 199.21
step: 97, mean fitness: 197.8
step: 98, mean fitness: 199.78
step: 99, mean fitness: 198.93
step: 100, mean fitness: 199.01
step: 101, mean fitness: 199.42
step: 102, mean fitness: 199.06
step: 103, mean fitness: 199.55
step: 104, mean fitness: 193.92
step: 105, mean fitness: 198.15
step: 106, mean fitness: 199.96
step: 107, mean fitness: 199.94
step: 108, mean fitness: 198.41
step: 109, mean fitness: 196.36
step: 110, mean fitness: 199.65
step: 111, mean fitness: 199.8
step: 112, mean fitness: 199.69
step: 113, mean fitness: 199.12
step: 114, mean fitness: 196.0
step: 115, mean fitness: 199.94
step: 116, mean fitness: 199.6
step: 117, mean fitness: 199.88
step: 118, mean fitness: 200.0
step: 119, mean fitness: 9.352
step: 120, mean fitness: 9.36
step: 121, mean fitness: 9.332
step: 122, mean fitness: 9.332
step: 123, mean fitness: 9.302
step: 124, mean fitness: 9.346
step: 125, mean fitness: 9.346
step: 126, mean fitness: 9.372
step: 127, mean fitness: 9.326
step: 128, mean fitness: 9.302
step: 129, mean fitness: 9.378
step: 130, mean fitness: 9.376
step: 131, mean fitness: 9.338
step: 132, mean fitness: 9.396
step: 133, mean fitness: 9.336
step: 134, mean fitness: 9.388
step: 135, mean fitness: 9.344
step: 136, mean fitness: 9.356
step: 137, mean fitness: 9.326
step: 138, mean fitness: 9.338
step: 139, mean fitness: 9.376
step: 140, mean fitness: 9.354
step: 141, mean fitness: 9.314
step: 142, mean fitness: 9.35
step: 143, mean fitness: 9.4
step: 144, mean fitness: 9.386
step: 145, mean fitness: 9.38
step: 146, mean fitness: 9.312
step: 147, mean fitness: 9.334
step: 148, mean fitness: 9.374
step: 149, mean fitness: 9.302
step: 150, mean fitness: 9.324
step: 151, mean fitness: 9.39
step: 152, mean fitness: 9.342
step: 153, mean fitness: 9.372
step: 154, mean fitness: 9.38
step: 155, mean fitness: 9.428
step: 156, mean fitness: 9.41
step: 157, mean fitness: 9.346
step: 158, mean fitness: 9.366
step: 159, mean fitness: 9.384
step: 160, mean fitness: 9.348
step: 161, mean fitness: 9.282
step: 162, mean fitness: 9.312
step: 163, mean fitness: 9.338
step: 164, mean fitness: 9.32
step: 165, mean fitness: 9.39
step: 166, mean fitness: 9.302
step: 167, mean fitness: 9.374
step: 168, mean fitness: 9.356
step: 169, mean fitness: 9.33
step: 170, mean fitness: 9.356
step: 171, mean fitness: 9.366
step: 172, mean fitness: 9.41
step: 173, mean fitness: 9.366
step: 174, mean fitness: 9.364
step: 175, mean fitness: 9.378
step: 176, mean fitness: 9.4
step: 177, mean fitness: 9.386
step: 178, mean fitness: 9.43
step: 179, mean fitness: 9.374
step: 180, mean fitness: 9.42
step: 181, mean fitness: 9.316
step: 182, mean fitness: 9.31
step: 183, mean fitness: 9.348
step: 184, mean fitness: 9.384
step: 185, mean fitness: 9.396
step: 186, mean fitness: 9.436
step: 187, mean fitness: 9.36
step: 188, mean fitness: 9.32
step: 189, mean fitness: 9.396
step: 190, mean fitness: 9.34
step: 191, mean fitness: 9.328
step: 192, mean fitness: 9.354
step: 193, mean fitness: 9.408
step: 194, mean fitness: 9.334
step: 195, mean fitness: 9.346
step: 196, mean fitness: 9.388
step: 197, mean fitness: 9.366
step: 198, mean fitness: 9.318
step: 199, mean fitness: 9.358
step: 200, mean fitness: 9.412
step: 201, mean fitness: 9.308
step: 202, mean fitness: 9.338
step: 203, mean fitness: 9.406
step: 204, mean fitness: 9.392
step: 205, mean fitness: 9.388
step: 206, mean fitness: 9.44
step: 207, mean fitness: 9.344
step: 208, mean fitness: 9.384
step: 209, mean fitness: 9.338
step: 210, mean fitness: 9.272
step: 211, mean fitness: 9.36
step: 212, mean fitness: 9.326
step: 213, mean fitness: 9.404
step: 214, mean fitness: 9.416
step: 215, mean fitness: 9.31
step: 216, mean fitness: 9.364
step: 217, mean fitness: 9.334
step: 218, mean fitness: 9.376
step: 219, mean fitness: 9.364
step: 220, mean fitness: 9.296
step: 221, mean fitness: 9.344
step: 222, mean fitness: 9.354
step: 223, mean fitness: 9.384
step: 224, mean fitness: 9.284
step: 225, mean fitness: 9.382
step: 226, mean fitness: 9.344
step: 227, mean fitness: 9.354
step: 228, mean fitness: 9.364
step: 229, mean fitness: 9.346
step: 230, mean fitness: 9.308
step: 231, mean fitness: 9.332
step: 232, mean fitness: 9.326
step: 233, mean fitness: 9.344
step: 234, mean fitness: 9.332
step: 235, mean fitness: 9.334
step: 236, mean fitness: 9.356
step: 237, mean fitness: 9.328
step: 238, mean fitness: 9.346
step: 239, mean fitness: 9.286
step: 240, mean fitness: 9.354
step: 241, mean fitness: 9.374
step: 242, mean fitness: 9.372
step: 243, mean fitness: 9.376
step: 244, mean fitness: 9.328
step: 245, mean fitness: 9.354
step: 246, mean fitness: 9.382
step: 247, mean fitness: 9.328
step: 248, mean fitness: 9.346
step: 249, mean fitness: 9.362
step: 250, mean fitness: 9.362
step: 251, mean fitness: 9.324
step: 252, mean fitness: 9.354
step: 253, mean fitness: 9.36
step: 254, mean fitness: 9.366
step: 255, mean fitness: 9.4
step: 256, mean fitness: 9.392
step: 257, mean fitness: 9.352
step: 258, mean fitness: 9.348
step: 259, mean fitness: 9.372
step: 260, mean fitness: 9.312
step: 261, mean fitness: 9.33
step: 262, mean fitness: 9.396
step: 263, mean fitness: 9.36
step: 264, mean fitness: 9.34
step: 265, mean fitness: 9.338
step: 266, mean fitness: 9.354
step: 267, mean fitness: 9.246
step: 268, mean fitness: 9.404
step: 269, mean fitness: 9.342
step: 270, mean fitness: 9.302
step: 271, mean fitness: 9.302
step: 272, mean fitness: 9.354
step: 273, mean fitness: 9.37
step: 274, mean fitness: 9.316
step: 275, mean fitness: 9.318
step: 276, mean fitness: 9.34
step: 277, mean fitness: 9.344
step: 278, mean fitness: 9.348
step: 279, mean fitness: 9.338
step: 280, mean fitness: 9.382
step: 281, mean fitness: 9.322
step: 282, mean fitness: 9.324
step: 283, mean fitness: 9.396
step: 284, mean fitness: 9.394
step: 285, mean fitness: 9.384
step: 286, mean fitness: 9.428
step: 287, mean fitness: 9.412
step: 288, mean fitness: 9.398
step: 289, mean fitness: 9.332
step: 290, mean fitness: 9.326
step: 291, mean fitness: 9.354
step: 292, mean fitness: 9.374
step: 293, mean fitness: 9.368
step: 294, mean fitness: 9.312
step: 295, mean fitness: 9.39
step: 296, mean fitness: 9.41
step: 297, mean fitness: 9.372
step: 298, mean fitness: 9.342
step: 299, mean fitness: 9.35
step: 300, mean fitness: 9.386
step: 301, mean fitness: 9.338

Is this supposed to happen while maximizing mean fitness? If so, why?

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.