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GitHub topics: mlds2018spring

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.

Language: Python - Size: 50.3 MB - Last synced at: 10 days ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 8

JasonYao81000/MLDS2018SPRING

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Language: Python - Size: 653 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 136 - Forks: 46

Related Keywords
reinforcement-learning 2 deep-q-network 2 mlds2018spring 2 mlds 2 2018 1 actor-critic 1 chat-bot 1 chatbot 1 chinese-chatbot 1 gan 1 generative-adversarial-network 1 hung-yi-lee 1 image-generation 1 ntu 1 policy-gradient 1 seq2seq 1 sequence-to-sequence 1 spring 1 text-to-image 1 video-captioning 1 tensorflow-models 1 tensorflow 1 openai-gym-solutions 1 openai-gym-environments 1 openai-gym-agents 1 openai-gym 1 mlds17-machine-learning-course 1 dqn 1 deep-qnetworks 1 deep-qlearning-algorithm 1 deep-q-learning-network 1 deep-q-learning 1 breakout 1 atari-breakout 1 atari 1 agent 1