Stars
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
A drone swarm simulator based on ROS (Robot Operating System).
3 algorithms for classical MAPF on 4 connected grid in one project
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Reinforcement Learning for Multi-Agent Path Finding
Graph Neural Networks for Decentralized Path Planning
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
Anytime Multi-Agent Path Finding via Large-Neighborhood Search
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A Neural Network Approach for Real-Time High-Dimensional Optimal Control
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces (AAMAS-22)
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
Paper list of multi-agent reinforcement learning (MARL)
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library