CSCE 689 Reinforcement Learning Semester Project
Installing requirements with conda: conda env create -f requirements.yml
Running code: python main.py Listing all flags: python main.py -h
Running code with common flags: python main.py -M 10000 -A deep-central-q -E 100 -e 0.2 -a 0.01 -g 0.95
Common flags: -M Max steps, the maximum number of steps taken during an episode -A Architecture used, accepted keys: 'procedural','central-q','joint-q','dec-q','deep-central-q' -E Epochs -e epsilon -a alpha -g gamma