khushhallchandra/pytorch-rl
Pytorch Implementation of RL algorithms
This project helps developers and researchers who are building reinforcement learning systems. It provides pre-built, standard implementations of popular deep reinforcement learning algorithms like DDPG and DQN. You input an untrained AI agent, and it helps you train it to perform tasks in simulated environments, producing a trained agent capable of solving problems like balancing a pole or controlling a pendulum. This is for AI/ML engineers and academic researchers working with reinforcement learning.
No commits in the last 6 months. Available on PyPI.
Use this if you are a developer or researcher looking for a foundational set of deep reinforcement learning agents implemented in PyTorch, which you can then customize or build upon for your own AI projects.
Not ideal if you are an end-user looking for a ready-to-use application to solve a specific business problem; this project requires coding and an understanding of machine learning principles.
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15
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 26, 2018
Commits (30d)
0
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