basic_reinforcement_learning
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vmayoral
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
This notebook consists of a detailed guide to understanding Q-learning by solving the Taxi-v3 env of Open AI. (Also please note that the taxi in the console visualization is not...
I'm getting lots of errors when I try to run the code for tutorial 1. Kindly advise. Screen dump: (base) administrator@ubuntu:~/basic_reinforcement_learning/tutorial1$ python3 egoMouseLook.py File "egoMouseLook.py", line 162 print len(mouse.ai.q) #...
In tutorial1, ```qlearn_mod_random.py```line 32: ```python if random.random() < self.epsilon: minQ = min(q) mag = max(abs(minQ), abs(maxQ)) # add random values to all the actions, recalculate maxQ q = [q[i] +...
