robcaulk
|
f95602f6bd
|
persist a single training environment.
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
5d4e5e69fe
|
reinforce training with state info, reinforce prediction with state info, restructure config to accommodate all parameters from any user imported model type. Set 5Act to default env on TDQN. Clean example config.
|
2022-08-24 13:00:55 +02:00 |
|
sonnhfit
|
7962a1439b
|
remove keep low profit
|
2022-08-24 13:00:55 +02:00 |
|
sonnhfit
|
81b5aa66e8
|
make env keep current position when low profit
|
2022-08-24 13:00:55 +02:00 |
|
sonnhfit
|
45218faeb0
|
fix coding convention
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
b90da46b1b
|
improve price df handling to enable backtesting
|
2022-08-24 13:00:55 +02:00 |
|
MukavaValkku
|
2080ff86ed
|
5ac base fixes in logic
|
2022-08-24 13:00:55 +02:00 |
|
sonnhfit
|
0475b7cb18
|
remove unuse code and fix coding conventions
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
bf7ceba958
|
set cpu threads in config
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
acf3484e88
|
add multiprocessing variant of ReinforcementLearningPPO
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
926023935f
|
make base 3ac and base 5ac environments. TDQN defaults to 3AC.
|
2022-08-24 13:00:55 +02:00 |
|
robcaulk
|
91683e1dca
|
restructure RL so that user can customize environment
|
2022-08-24 13:00:55 +02:00 |
|