* support python 3.8

* fix python2 compatibility

* remove py38 unittest since paddle don't support python3.8

* add logger for remote actors

* resolve issues

* `get_free_tcp_port` and `is_port_available` move to utils.py

* add information for user in the remote log web UI

* yapf formatting

* fix unittest error

* yapf formatting

* update remote job web UI

* add option for log server port

* fix windows support

* fix `os.devnull` in windows

* fix port argument passing

* fix bug

* fix kill log_server

* fix log server not started

* add log_server_test
Co-authored-by: NHongsheng Zeng <zenghongsheng@baidu.com>

* add VisualDL as summary logging backend

* yapf

* copyright

* using visualdl as the default logging tool

* only support linux at the moment

* yapf

* yapf

* remove dependency on six

* unittest

* yapf

* first version; unittest in parl/remote is passed

* add windows local unittest shell; fix some incompatible problem

* fix save api

* refine comments and remove log of xparl stop

* fix bug

* Update scripts.py

* Update utils.py

* Update agent_base_test.py

* Add `files` argument when creating a client.

* Add `distributed_files` to parl.connect

* yapf

* Add try exception for `cls=cloudpickle.loads()`

* yapf

* unittest cluster_status_test.py `address is used`.

* Solve port address duplicate problem.

* combine two try except

* check monitor for xparl status

* yapf

* fix bugs

* fix bugs

* More sleep in cluster_test.py.

* yapf

* add debug mode

* add debug model

* Fix reset_job_test.py timeout problem.

* remove time decorator

* Add timeout_decorator

* Add parl monitor.

* Add clustermonitor.py

* Fix thread safety bug.

* Fix js bugs.

* Fix End of Files.

* fix cluster_test bug

* yapf error

* fix bugs in tests/job_center_test.py

* fix bugs in tests/job_center_test.py

* add test_cluster_monitor.py

* add worker.exit in test_cluster_monitor.py

* release version 1.1.1

* add version requirement of tensorboard

* add tensorboardX

* yapf

* Code License

* support serialize/deserialize instance of custom class

* update version requirement of dependences

* remove requirements of unittest which are included in parl

* use fashion style of pyarrow serialization context; add thread safe unittest of serialize/deserialize

* add thread-safe test of remote module; add more exception tips of serialize/deserialize

* refine comment

Now we can check the parl version by calling parl.__version__

* add benchmark of GA3C

* fix bug of import parl without paddle

* fix codestyle

* add A2C benchmark; add more information in PyPI homepage

* filter picture in PyPI homepage

* add IMPALA algorithm and some common utils

* update README.md

* refactor files structure of impala algorithm; seperate numpy utils from utils

* add hyper parameter scheduler module; add entropy and lr scheduler in impala

* clip reward in atari wrapper instead of learner side; fix codestyle

* add benchmark result of impala; refine code of impala example; add obs_format in atari_wrappers

* Update README.md

* remove not used files, add benchmark for DQN and DDPG, add Parameters management Readme

* Update README.md

* Update README.md

* add parl dependence in examples, use np shuffle instead of sklean

* fix codestyle

* refine readme of nips example

* fix bug

* fix code style

* Update README.md

* Update README.md

* Update README.md

* refine document and remove outdated design doc

* Update README.md

* Update README.md

* refine comment

* release version 1.0

* gif of examples

* Update README.md

* update Readme

* add testing module of NeurIPS2018-AI-for-Prosthetics-Challenge, add dependencies of setup

* add copyright

* add google drive link

* fix depedencie

* refine setup

* add setup.py for installation

* rename agent.py to make it consistent with other framework base

* namespace bug

* add logger module

* refine comment

* add license

* refine set_level api

* refine unittest

* fix codestyle with yapf

* add termcolor dependency

* fix wrapper of dynamic_lstm cannot support h_0 and c_0 initialization, fix bug of wrapper of dynamic_gru

* use sampling_id of fluid to sampling ids

* remove test simple games unittest, avoid timeout

* change pip source