AdamStelmaszczyk/dqn
TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)
This project helps machine learning researchers and reinforcement learning practitioners train AI agents to play Atari games using Deep Q-Networks (DQN) with Hindsight Experience Replay (HER). It takes game state observations as input and outputs a trained model capable of making decisions within the game environment. The primary users are researchers exploring deep reinforcement learning algorithms and AI game agents.
No commits in the last 6 months.
Use this if you are a researcher or student looking to experiment with or replicate Deep Q-Networks with Hindsight Experience Replay for Atari game environments.
Not ideal if you need a plug-and-play solution for general AI game playing or if your focus is on domains outside of Atari game environments.
Stars
40
Forks
4
Language
Python
License
GPL-3.0
Category
Last pushed
Jul 31, 2020
Commits (30d)
0
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