avbiswas/navigation-mappo-rl

[RA-Letter 2022] Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards

Multi-UAV target round-up based on MADDPG

[ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF / MAPF settings.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

A suite of test scenarios for multi-agent reinforcement learning.

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

Single file implementations of Deep Multi-agent Reinforcement Learning

The Hybrid Reciprocal Velocity Obstacle (C++)

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities