Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"

A collection of MARL benchmarks based on TorchRL

Start building LLM-empowered multi-agent applications in an easier way.

A framework for the creation of autonomous agent services.

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. Furthermore, through the community, they can exchange and share practices of patterns across different domains.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)

Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.

A library for generative social simulation

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"

Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering

Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"

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This is the official implementation of Multi-Agent PPO (MAPPO).

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

Decentralized and Resilient Multi-Agent Schedulers for High-Performance Computing Clusters