matthieu637/ddrl
Deep Developmental Reinforcement Learning
This project offers a collection of deep reinforcement learning (DRL) algorithms and simulated environments to help researchers develop and test AI agents for continuous control tasks. It takes descriptions of complex environments (like robotic systems) and outputs trained policies or agents capable of making decisions in those environments. This is for AI researchers and PhD students specializing in deep reinforcement learning.
No commits in the last 6 months.
Use this if you are an AI researcher or student working on continuous control problems and need to experiment with or extend established deep reinforcement learning algorithms and environments.
Not ideal if you are looking for a high-level, production-ready DRL framework for real-world applications or if you are unfamiliar with C++ and deep learning research workflows.
Stars
29
Forks
3
Language
C++
License
MIT
Category
Last pushed
Jul 01, 2020
Commits (30d)
0
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