Different layouts can be found and created in the layouts directory
Parameters
Parameters can be found in the params dictionary in pacmanDQN_Agents.py.
Models are saved as "checkpoint" files in the /saves directory. Load and save filenames can be set using the load_file and save_file parameters.
Episodes before training starts: train_start Size of replay memory batch size: batch_size Amount of experience tuples in replay memory: mem_size Discount rate (gamma value): discount Learning rate: lr
Exploration/Exploitation (ε-greedy): Epsilon start value: eps Epsilon final value: eps_final Number of steps between start and final epsilon value (linear): eps_step
Citation
Please cite this repository if it was useful for your research:
@article{van2016deep,
title={Deep Reinforcement Learning in Pac-man},
subtitle={Bachelor Thesis},
author={van der Ouderaa, Tycho},
year={2016},
school={University of Amsterdam},
type={Bachelor Thesis},
pdf={https://esc.fnwi.uva.nl/thesis/centraal/files/f323981448.pdf},
}