GitHub / andi611 / DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Stars: 16
Forks: 8
Open issues: 1
License: mit
Language: Python
Size: 50.3 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 1 month ago
Pushed at: over 6 years ago
Last synced at: 9 days ago
Topics: agent, atari, atari-breakout, breakout, deep-q-learning, deep-q-learning-network, deep-q-network, deep-qlearning-algorithm, deep-qnetworks, dqn, mlds, mlds17-machine-learning-course, mlds2018spring, openai-gym, openai-gym-agents, openai-gym-environments, openai-gym-solutions, reinforcement-learning, tensorflow, tensorflow-models