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Donal Byrne dab3b965cb
Example: Simple RL example using DQN/Lightning (#1232) 
* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* CI: split tests-examples (#990)

* CI: split tests-examples

* tests without template

* comment depends

* CircleCI typo

* add doctest

* update test req.

* CI tests

* setup macOS

* longer train

* lover pred acc

* fix model

* rename default model

* lower tests acc

* typo

* imports

* fix test optimizer

* update calls

* fix Win

* lower Drone image

* fix call

* pytorch image

* fix test

* add dev image

* add dev image

* update image

* drone volume

* lint

* update test notes

* rename tests/models >> tests/base

* group models

* conftest

* optim imports

* typos

* fix import

* fix tests

* install AMP

* tests

* fix import

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* updated example image

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

* Disable validation when val_percent_check=0 (#1251)

* fix disable validation

* add test

* update changelog

* update docs for val_percent_check

* make "fast training" docs consistent

* calling self.forward() -> self() (#1211)

* self.forward() -> self()

* update changelog

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Fix requirements-extra.txt Trains package to release version (#1229)

* Fix requirement-extra use released Trains package

* Update README.md add Trains and links to the external Visualization section

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Remove unnecessary parameters to super() in documentation and source code (#1240)

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* update deprecation warning (#1258)

* update docs for progress bat values (#1253)

* lower timeouts for inactive issues (#1250)

* update contrib list (#1241)

Co-authored-by: William Falcon <waf2107@columbia.edu>

* Fix outdated docs (#1227)

* Fix typo (#1224)

* drop unused Tox (#1242)

* system info (#1234)

* system info

* update big info

* test script

* update config

* rename script

* import path

* Changed smoothing in tqdm to decrease variability of time remaining between training / eval (#1194)

* Example: Simple RL example using DQN/Lightning

* DQN RL Agent using Lightning

* Uses Iterable Dataset for Replay Buffer

* Buffer is populated by agent as training is carried out, updating the
dataset

* Applied autopep8 fixes

* * Updated line length from 120 to 110

* Update pl_examples/domain_templates/dqn.py

simplify get_device method

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pl_examples/domain_templates/dqn.py

Re-ordered imports

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Clean up

* added module docstring

* renamed variables to be more descriptive

* Added missing docstrings and type annotations

* Added gym to example requirements

* Added note to changelog

* update types

* rename script

* Update CHANGELOG.md

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* another rename

Co-authored-by: Donal Byrne <Donal.Byrne@xperi.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
Co-authored-by: Martin.B <51887611+bmartinn@users.noreply.github.com>
Co-authored-by: Tyler Yep <tyep@stanford.edu>
Co-authored-by: Shunta Komatsu <59395084+skmatz@users.noreply.github.com>
Co-authored-by: Jack Pertschuk <jackpertschuk@gmail.com>
 		2020-03-28 16:10:53 -04:00
..
basic_examples Remove unnecessary parameters to super() in documentation and source code (#1240) 2020-03-27 12:36:50 +00:00
domain_templates Example: Simple RL example using DQN/Lightning (#1232) 2020-03-28 16:10:53 -04:00
full_examples Remove unnecessary parameters to super() in documentation and source code (#1240) 2020-03-27 12:36:50 +00:00
multi_node_examples update Docs [links & formatting] (#769) 2020-02-09 17:39:10 -05:00
README.md changes examples to pl_examples for name connflict 2019-10-19 00:41:17 +02:00
__init__.py resolving documentation warnings (#833) 2020-02-27 16:07:51 -05:00
requirements.txt Example: Simple RL example using DQN/Lightning (#1232) 2020-03-28 16:10:53 -04:00

README.md

Examples

This folder has 3 sections:

Domain templates

These are templates to show common approaches such as GANs and RL.

Basic examples

These show the most common use of Lightning for either CPU or GPU training.

Multi-node examples

These show how to run jobs on a GPU cluster using lightning.