Popular GitHub Repositories for Torchrl

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

A collection of MARL benchmarks based on TorchRL

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

Multi-Agent Reinforcement Learning for TurtleBot3 Using ROS2 Humble and Gazebo.

MARL research project, where agents collaboratively self-organize inside dynamically generated geometric patterns.

A Multi-Agent Reinforcement Learning (MARL) research project where patrolling and intruder agents engage in an adversarial setting, continuously adapting and countering each other’s strategies.

MARL research project in which rescuer and rescuee agents collaborate to navigate and succeed in complex, obstacle-rich environments.

Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL

MARL research project, where agents must collaboratively solve multi-agent pathfinding tasks in complex, obstacle-rich environments.

MARL research project, where agents collaboratively optimize a given objective function in a multi-dimensional search space.

MARL research project, based on the famous board game "Scotland Yard".

Inspired by the series "Squid Game", this project requires agents to learn coordinated decision-making and spatial negotiation in a competitive-cooperative setting.

MARL research project, where multiple agents (ants) interact in a shared 2D environment containing scattered items of different categories.