Improve the RL learning process

Improve the RL learning process by selecting random start point for the agent, it can help to block the agent to only learn on the selected period of time, while improving the quality of the model.

freqtrade/freqai/RL/BaseEnvironment.py

@@ -9,6 +9,7 @@ import pandas as pd
 from gym import spaces
 from gym.utils import seeding
 from pandas import DataFrame
+import random
 
 from freqtrade.data.dataprovider import DataProvider
 
@@ -121,6 +122,9 @@ class BaseEnvironment(gym.Env):
         self._done = False
 
         if self.starting_point is True:
+            length_of_data = int(self._end_tick/4)
+            start_tick = random.randint(self.window_size+1, length_of_data)
+            self._start_tick = start_tick
             self._position_history = (self._start_tick * [None]) + [self._position]
         else:
             self._position_history = (self.window_size * [None]) + [self._position]