sr-drl

Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks (by jaromiru)

Sr-drl Alternatives

Similar projects and alternatives to sr-drl

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better sr-drl alternative or higher similarity.

sr-drl reviews and mentions

Posts with mentions or reviews of sr-drl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-22.
  • RL Agent Library to use graph in spaces
    4 projects | /r/reinforcementlearning | 22 Oct 2022
    I don't know if any RL library includes an already implemented agent that can process graphs. However there are a number of deep learning frameworks that can help with the implementation of graph neural networks, especially Graph Nets (based on Tensorflow) and PyTorch Geometric. You might need to modify an existing RL agent to make use of one of these frameworks. If you are not familiar with GNNs you can look up these surveys. This article may also be of interest to you: it tackles graph-based environments, and the paper's code is available (it has a custom implementation of A2C and uses PyTorch Geometric -- btw it doesn't use Gym's space.graph since this feature is very recent in Gym).

Stats

Basic sr-drl repo stats
1
23
4.0
8 months ago

jaromiru/sr-drl is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of sr-drl is Python.


Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com