cgel/DRL
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
This project helps machine learning researchers rapidly develop, train, and benchmark new deep reinforcement learning algorithms. You provide the algorithm implementation as a Python class, and it outputs organized training logs and performance metrics for comparison. This is for machine learning engineers and researchers experimenting with reinforcement learning.
No commits in the last 6 months.
Use this if you are developing or evaluating different deep reinforcement learning agents and need a standardized, easy-to-use framework for testing and comparison.
Not ideal if you are looking for pre-trained reinforcement learning models or a high-level API for applying existing algorithms without customization.
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Language
Python
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Last pushed
Apr 01, 2017
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