Skip to content

Consolidation of work for the RL concept learning project targeted for AAAI '23.

Notifications You must be signed in to change notification settings

Jimntu/RL-concept-learning-project

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RL-concept-learning-project

Consolidation of work for the RL concept learning project targeted for AAAI '23. This work is inspired by the "Simulating Early Word Learning in Situated Connectionist Agents" paper by Deepmind: https://cognitivesciencesociety.org/cogsci20/papers/0155/0155.pdf

We use vision-language models to learn various spatial relationships in a simulated RL environment. The environment is generated using Unity 3D and writing of several C# scripts. The Unity ML-Agents package is used to interface between the models and the agent in the Unity environment.

About

Consolidation of work for the RL concept learning project targeted for AAAI '23.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%