Files
baselines/setup.py
pzhokhov fe06c6b4db continuous action spaces for codegen + some benchmarking (#82)
* add some docstrings

* start making big changes

* state machine redesign

* sampling seems to work

* some reorg

* fixed sampling of real vals

* json conversion

* made it possible to register new commands
got nontrivial version of Pred working

* consolidate command definitions

* add more macro blocks

* revived visualization

* rename Userdata -> CmdInterpreter
make AlgoSmInstance subclass of SmInstance that uses appropriate userdata argument

* replace userdata by ci when appropriate

* minor test fixes

* revamped handmade dir, can run ppo_metal

* seed to avoid random test failure

* implement AlgoAgent

* Autogenerated object that performs all ops and macros

* more CmdRecorder changes

* move files around

* move MatchProb and JtftProb

* remove obsolete

* fix tests involving AlgoAgent (pending the next commit on ppo_metal code)

* ppo_metal: reduce duplication in policy_gen, make sess an attribute of PpoAgent and StochasticPolicy instead of using get_default_session everywhere.

* maze_env reformatting, move algo_search script (but stil broken)

* move agent.py

* fix test on handcrafted agents

* tuning/fixing ppo_metal baseline

* minor

* Fix ppo_metal baseline

* Don’t set epcount, tcount unless they’re being used

* get rid of old ppo_metal baseline

* fixes for handmade/run.py tuning

* fix codegen ppo

* fix handmade ppo hps

* fix test, go back to safe_div

* switch to more complex filtering

* make sure all handcrafted algos have finite probability

* train to maximize logprob of provided samples
Trex changes to avoid segfault

* AlgoSm also includes global hyperparams

* don’t duplicate global hyperparam defaults

* create generic_ob_ac_space function

* use sorted list of outkeys

* revive tsne

* todo changes

* determinism test

* todo + test fix

* remove a few deprecated files, rename other tests so they don’t run automatically, fix real test failure

* continuous control with codegen

* continuous control with codegen

* implement continuous action space algodistr

* ppo with trex RUN BENCHMARKS

* wrap trex in a monitor

* dummy commit to RUN BENCHMARKS

* adding monitor to trex env RUN BENCHMARKS

* adding monitor to trex RUN BENCHMARKS

* include monitor into trex env RUN BENCHMARKS

* generate nll and predmean using Distribution node

* dummy commit to RUN BENCHMARKS

* include pybullet into baselines optional dependencies

* dummy commit to RUN BENCHMARKS

* install games for cron rcall user RUN BENCHMARKS

* add --yes flag to install.py in rcall config for cron user RUN BENCHMARKS

* both continuous and discrete versions seem to run

* fixes to monitor to work with vecenv-like info and rewards RUN BENCHMARKS

* dummy commit to RUN BENCHMARKS

* removed shape check from one-hot encoding logic in distributions.CategoricalPd

* reset logger configuration in codegen/handmade/run.py to be in-line with baselines RUN BENCHMARKS

* merged peterz_codegen_benchmarks RUN BENCHMARKS

* skip tests RUN BENCHMARKS

* working on test failures

* save benchmark dicts RUN BENCHMARK

* merged peterz_codegen_benchmark RUN BENCHMARKS

* add get_git_commit_message to the baselines.common.console_util

* dummy commit to RUN BENCHMARKS

* merged fixes from peterz_codegen_benchmark RUN BENCHMARKS

* fixing failure in test_algo_nll WIP

* test_algo_nll passes with both ppo and softq

* re-enabled tests

* run trex on gpus for 100k total (horizon=100k / 16) RUN BENCHMARKS

* merged latest peterz_codegen_benchmarks RUN BENCHMARKS

* fixing codegen test failures (logging-related)

* fixed name collision in run-benchmarks-new.py RUN BENCHMARKS

* fixed name collision in run-benchmarks-new.py RUN BENCHMARKS

* fixed import in node_filters.py

* test_algo_search passes

* some cleanup

* dummy commit to RUN BENCHMARKS

* merge fast fail for subprocvecenv RUN BENCHMARKS

* use SubprocVecEnv in sonic_prob

* added deprecation note to shmem_vec_env

* allow indexing of distributions

* add timeout to pipeline.yaml

* typo in pipeline.yml

* run tests with --forked option

* resolved merge conflict in rl_algs.bench.benchmarks

* re-enable parallel tests

* fix remaining merge conflicts and syntax

* Update trex_prob.py

* fixes to ResultsWriter

* take baselines/run.py from peterz_codegen branch

* actually save stuff to file in VecMonitor RUN BENCHMARKS

* enable parallel tests

* merge stricter flake8

* merge peterz_codegen_benchmark, resolve conflicts

* autopep8

* remove traces of Monitor from trex env, check shapes before encoding in CategoricalPd

* asserts and warnings to make q -> distribution change more explicit

* fixed assert in CategoricalPd

* add header to vec_monitor output file RUN BENCHMARKS

* make VecMonitor write header to the output file

* remove deprecation message from shmem_vec_env RUN BENCHMARKS

* autopep8

* proper shape test in distributions.py

* ResultsWriter can take dict headers

* dummy commit to RUN BENCHMARKS

* replace assert len(qs)==1 with warning RUN BENCHMARKS

* removed pdb from ppo2 RUN BENCHMARKS
2018-09-14 15:43:49 -07:00

55 lines
1.4 KiB
Python

from setuptools import setup, find_packages
import sys
if sys.version_info.major != 3:
print('This Python is only compatible with Python 3, but you are running '
'Python {}. The installation will likely fail.'.format(sys.version_info.major))
extras = {
'test': [
'filelock',
'pytest'
],
'bullet': [
'pybullet',
]
}
all_deps = []
for group_name in extras:
all_deps += extras[group_name]
extras['all'] = all_deps
setup(name='baselines',
packages=[package for package in find_packages()
if package.startswith('baselines')],
install_requires=[
'gym[mujoco,atari,classic_control,robotics]',
'scipy',
'tqdm',
'joblib',
'dill',
'progressbar2',
'mpi4py',
'cloudpickle',
'click',
'opencv-python'
],
extras_require=extras,
description='OpenAI baselines: high quality implementations of reinforcement learning algorithms',
author='OpenAI',
url='https://github.com/openai/baselines',
author_email='gym@openai.com',
version='0.1.5')
# ensure there is some tensorflow build with version above 1.4
try:
from distutils.version import StrictVersion
import tensorflow
assert StrictVersion(tensorflow.__version__) >= StrictVersion('1.4.0')
except ImportError:
assert False, "TensorFlow needed, of version above 1.4"