Files

examples

mldg_1d ok, no gen still

Apr 30, 2018

c7907ff · Apr 30, 2018

This branch is 146 commits behind Kismuz/btgym:master.

Name		Name	Last commit message	Last commit date
parent directory ..
atari_tests		atari_tests	intermediate AMLDG results; atari tests fixed	Mar 31, 2018
data		data	filename fix	Dec 19, 2017
img		img	meta_rnn in progress	Feb 22, 2018
README.md		README.md	paper refs added	Feb 17, 2018
a3c_random_on_synth_or_real_data_4_6.ipynb		a3c_random_on_synth_or_real_data_4_6.ipynb	noisy-net and policy centering upd	Feb 6, 2018
async_btgym_workers.ipynb		async_btgym_workers.ipynb	example fixes	Dec 18, 2017
data_domain_api_intro.ipynb		data_domain_api_intro.ipynb	docs upd	Jan 11, 2018
guided_a3c.ipynb		guided_a3c.ipynb	mldg_1d ok, no gen still	Apr 30, 2018
rendering_howto.ipynb		rendering_howto.ipynb	basic examples updated, matplotlib v.2.0.2 req. added	Nov 26, 2017
setting_up_environment_basic.ipynb		setting_up_environment_basic.ipynb	amldg in progress	Apr 6, 2018
setting_up_environment_full.ipynb		setting_up_environment_full.ipynb	example fix	Dec 29, 2017
state_signal_scaling.ipynb		state_signal_scaling.ipynb	basic casual conv encoder ok	Apr 20, 2018
tensorboard_monitor.ipynb		tensorboard_monitor.ipynb	BTgymMonitor exampe fix	Oct 2, 2017
unreal_random_on_synth_or_real_data_4_6.ipynb		unreal_random_on_synth_or_real_data_4_6.ipynb	noisy-net and policy centering upd	Feb 6, 2018
unreal_stacked_lstm_strat_4_11.ipynb		unreal_stacked_lstm_strat_4_11.ipynb	example upd	Feb 6, 2018
very_basic_env_setup.ipynb		very_basic_env_setup.ipynb	basic work on data api done. tests yet to be completed	Jan 6, 2018

README.md

BTgym examples and how-to's.

Guided A3C: Speeding up training with expert actions.

Observation state preprocessing: scaling: Using data-unconditioned methods to feed agent.

New Datafeed API: Brief intro to BTGym data flow design.

Research_code_4_11, 07.01.18:

A3C_STACKED_LSTM: Stacked_LSTM_Policy agent basic usage example.

Research_code_4_6, 24.11.17:

A3C_4_6: A3C demo on synthetic or real historic data
UNREAL_4_6: UNREAL/PPO demo on synthetic or real historic data

Atari tests: Gym-Atari tests for A3C, BaseAAC, PPO.

BTgym setup for asynchronous training: getting ready for A3C.

Rendering howto: get cool pictures.

Tensorboard monitor: using it to track environment dynamics. After running the script and opening http://localhost:6006/ you should see something like this:

Setting up environment [full]: configure everything.
Setting up environment [basic]: making environment using basic built-in parameters.
Very basic setup: run me first.