thanhkaist/CCFDM1
CCFDM reinforcement learning
This project offers a way for machine learning researchers and engineers to experiment with advanced reinforcement learning techniques. It processes image-based observations from simulated environments to train AI agents more efficiently. The output provides performance metrics and the opportunity to save trained models and video recordings of agent behavior.
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Use this if you are a machine learning researcher or practitioner working on reinforcement learning tasks and need to implement and evaluate sample-efficient representation learning methods using DeepMind control experiments.
Not ideal if you are looking for a plug-and-play solution for real-world robotics or a general-purpose reinforcement learning framework that doesn't focus on research in representation learning.
Stars
40
Forks
12
Language
Python
License
MIT
Category
Last pushed
Dec 28, 2021
Commits (30d)
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