GitHub / rudra2112 / Pac-Man-DQN
Developed and implemented a Reinforcement Learning Deep Q-Network (RL-DQN) that learned to play Pac-Man from its experience using a Convolutional Neural Network (CNN) trained on screen images as input.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra2112%2FPac-Man-DQN
PURL: pkg:github/rudra2112/Pac-Man-DQN
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 12.5 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: atari, convolutional-neural-networks, deep-q-network, deep-reinforcement-learning, gym-environment, jupyter-notebook, machine-learning, pac-man, pac-man-game, python, reinforcement-learning, tensorflow