Skip to content

AayushmanKumar/ReinforceGT

Repository files navigation

ReinforceGT: Game-Theoretic Extensions to Reinforced Learning.

The goal of this project is to explore and implement game-theoretic extensions in multi-agent reinforcement learning environments, enabling participants to model strategic interactions and design adaptive agents that learn optimal behaviors through dynamic simulations.

Resources

  • Recruitment Task: link
  • Project Proposal: link
  • Week 1: link

Mentors:

  • Aayushman Kumar
  • Hardik Tiwari
  • Ikrima Badr
  • Jeevesh Narayan
  • Piyush Kumar

About

ReinforceGT: Game-Theoretic Extensions to Reinforced Learning.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors