Scalable MADDPG is an open-source Python library that provides a scalable implementation of the Multi-Agent Deep Deterministic Policy Gradient algorithm. It supports centralized training with decentralized execution, customizable environments, and modular neural network architectures. Researchers and engineers can leverage its scripts and templates to train and evaluate cooperative or competitive multi-agent reinforcement learning scenarios across varied tasks like robotics, traffic control, and game AI.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#multi-agent reinforcement learning
#MADDPG framework
#Scalable Training
#centralized critics
#independent agents
#Python API
#TensorFlow acceleration
#environment customization
#learning curve visualization
#cooperative tasks
#competitive tasks
#open source research
#modular components
#parallel training
#experimental reproducibility
#machine learning prototyping
#Benchmarking
#AI Frameworks
#learning metrics
#agents training
...
Promote this Tool
Update this Tool
Scalable MADDPG
Scalable MADDPG is an open-source Python library that provides a scalable implementation of the Multi-Agent Deep Deterministic Policy Gradient algorithm. It supports centralized training with decentralized execution, customizable environments, and modular neural network architectures. Researchers and engineers can leverage its scripts and templates to train and evaluate cooperative or competitive multi-agent reinforcement learning scenarios across varied tasks like robotics, traffic control, and game AI.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#multi-agent reinforcement learning
#MADDPG framework
#Scalable Training
#centralized critics
#independent agents
#Python API
#TensorFlow acceleration
#environment customization
#learning curve visualization
#cooperative tasks
#competitive tasks
#open source research
#modular components
#parallel training
#experimental reproducibility
#machine learning prototyping
#Benchmarking
#AI Frameworks
#learning metrics
#agents training
...
Featured
What is Scalable MADDPG?
Scalable MADDPG is a research-oriented framework for multi-agent reinforcement learning, offering a scalable implementation of the MADDPG algorithm. It features centralized critics during training and independent actors at runtime for stability and efficiency. The library includes Python scripts to define custom environments, configure network architectures, and adjust hyperparameters. Users can train multiple agents in parallel, monitor metrics, and visualize learning curves. It integrates with OpenAI Gym-like environments and supports GPU acceleration via TensorFlow. By providing modular components, Scalable MADDPG enables flexible experimentation on cooperative, competitive, or mixed multi-agent tasks, facilitating rapid prototyping and benchmarking.
Who will use Scalable MADDPG?
- Reinforcement learning researchers
- Machine learning engineers
- AI developers
- Academics and students in AI
How to use the Scalable MADDPG?
- Step1: Clone the repository from GitHub: git clone https://github.com/livey/scalable_maddpg.git
- Step2: Install dependencies: pip install -r requirements.txt
- Step3: Configure environment parameters in config files for your task
- Step4: Launch training: python train.py --env your_env --config config.yaml
- Step5: Monitor training logs and visualize results via TensorBoard
- Step6: Evaluate trained agents: python evaluate.py --model path/to/checkpoint --env your_env
Platform
- mac
- windows
- linux
Scalable MADDPG's Core Features & Benefits
The Core Features
- Scalable multi-agent training with MADDPG
- Centralized training and decentralized execution
- Modular neural network architecture
- Environment-agnostic Python API
- TensorBoard logging and visualization
- GPU acceleration via TensorFlow
The Benefits
- Easy customization of agents and environments
- Reproducible experimental setups
- Support for cooperative and competitive tasks
- Open-source and research-focused
- Facilitates rapid prototyping and benchmarking
Scalable MADDPG's Main Use Cases & Applications
- Cooperative robotics coordination
- Multi-agent traffic signal control
- Competitive game AI development
- Distributed resource allocation simulations
- Parallel training of autonomous vehicles
FAQs of Scalable MADDPG
Scalable MADDPG Company Information
- livey
Scalable MADDPG Reviews
5/5
Scalable MADDPG's Main Competitors and alternatives?
- OpenAI Baselines
- Ray RLlib
- Stable Baselines3
- PettingZoo with MARL algorithms
You may also like:
1.5M
14.58% AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
1.2K
54.15% AI-driven chatbot for top OnlyFans creators.
325.8K
27.42% Aixbt is a tokenized AI Agent optimizing revenue across applications.
937
theGist AI Workspace unifies work apps with AI for improved productivity.
44.0K
11.03% Generate brand visuals and copy using AI to boost e-commerce sales.
1.4K
55.44% GPTConsole is an AI agent designed for streamlined conversation and task automation.
--
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
6.8K
63.82% Nullify automates the entire AppSec program for security teams using AI-driven solutions.
77.6K
18.77% Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
30.8K
21.51% Langbase is an AI agent that generates and analyzes natural language content efficiently.
719
36.79% AiTerm: AI Terminal Assistant converting natural language to commands.
--
Generate intriguing facts effortlessly with our AI-powered tool.
1.2K
100.00% Revolutionary AI that sees, hears, and communicates in real time.
17.9K
41.82% Automate your job applications and find the perfect job with AI technology.
413
100.00% Intellika AI enables seamless automation of data analysis and reporting for businesses.
--
ScholarRoll helps students find and apply for scholarships easily.
37.2K
68.25% OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
594
100.00% Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
8.6K
37.99% Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
78.1K
46.49% Letta is an AI agent that handles email responses efficiently and accurately.
18.4K
42.19% Moddy is an AI agent designed to enhance multi-repo code transformation.
3.6M
17.63% Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
438.6K
31.69% Cody AI helps developers write, review, and understand code efficiently.
199.8K
10.19% A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
1.1M
28.27% scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
--
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
--
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
--
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
--
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
381.3K
19.05% Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
--
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
--
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
--
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
--
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
--
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
--
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
362
100.00% CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
16.4K
100.00% AveHR is an AI-driven human resources agent for streamlining HR tasks.
--
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
--
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
69.6K
13.79% SharkFoto is an all-in-one AI-powered platform for creating and editing videos, images, and music efficiently.
--
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
--
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
--
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
--
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
--
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
--
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
--
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
--
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
--
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
--
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
1.1M
62.06% Qoder is an agentic coding platform for real software, Free to use the best model in preview.
245.5K
32.47% A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
--
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
--
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
--
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
--
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
--
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
--
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.