Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
This project helps machine learning researchers and practitioners experiment with advanced deep reinforcement learning techniques. It takes configurations for various improvements (like Double DQN or Prioritised Experience Replay) as input and outputs trained models capable of playing Atari games, along with performance results. It's designed for those exploring or applying cutting-edge RL algorithms.
1,661 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or student who wants to quickly test and combine state-of-the-art deep reinforcement learning algorithms for tasks like game AI.
Not ideal if you are looking for a plug-and-play solution to integrate AI into a business application or if you are new to deep learning concepts.
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1,661
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292
Language
Python
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MIT
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Last pushed
Jan 13, 2022
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