Multiagent-Prediction-Reward is an open-source codebase that provides tools and modules for multi-agent reinforcement learning. It implements prediction networks and dynamic reward allocation to encourage cooperative behavior across agents. Researchers can reproduce experiments, benchmark new algorithms, and extend the framework for diverse cooperative tasks.
AI Platforms & Frameworks
Research
Tool Libraries
#multi-agent reinforcement learning
#reward distribution
#action prediction
#cooperative tasks
#neural network modules
#environment wrappers
#training hyperparameters
#reproducible research
#Performance Metrics
#customizable rewards
#benchmarking RL algorithms
#dynamic reward allocation
#Machine Learning Framework
#experimentation tools
#modular design
#predictive rewards
#agent performance
#research framework
#forecasting models
#RL research community
...
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Multiagent-Prediction-Reward
Multiagent-Prediction-Reward is an open-source codebase that provides tools and modules for multi-agent reinforcement learning. It implements prediction networks and dynamic reward allocation to encourage cooperative behavior across agents. Researchers can reproduce experiments, benchmark new algorithms, and extend the framework for diverse cooperative tasks.
AI Platforms & Frameworks
Research
Tool Libraries
#multi-agent reinforcement learning
#reward distribution
#action prediction
#cooperative tasks
#neural network modules
#environment wrappers
#training hyperparameters
#reproducible research
#Performance Metrics
#customizable rewards
#benchmarking RL algorithms
#dynamic reward allocation
#Machine Learning Framework
#experimentation tools
#modular design
#predictive rewards
#agent performance
#research framework
#forecasting models
#RL research community
...
Featured
What is Multiagent-Prediction-Reward?
Multiagent-Prediction-Reward is a research-oriented framework that integrates prediction models and reward distribution mechanisms for multi-agent reinforcement learning. It includes environment wrappers, neural modules for forecasting peer actions, and customizable reward routing logic that adapts to agent performance. The repository provides configuration files, example scripts, and evaluation dashboards to run experiments on cooperative tasks. Users can extend the code to test novel reward functions, integrate new environments, and benchmark against established multi-agent RL algorithms.
Who will use Multiagent-Prediction-Reward?
- Reinforcement learning researchers
- AI graduate students
- Multi-agent system developers
- Academic and industrial research teams
How to use the Multiagent-Prediction-Reward?
- Step1: Clone the repository from GitHub: git clone https://github.com/laurimi/multiagent-prediction-reward.git
- Step2: Install dependencies via pip: pip install -r requirements.txt
- Step3: Configure environment and hyperparameters in config files
- Step4: Run example experiment: python run_experiment.py --config configs/cooperative_task.yaml
- Step5: Review training logs and evaluation metrics in the output directory
- Step6: Modify or extend prediction and reward modules for custom tasks
Platform
- mac
- windows
- linux
Multiagent-Prediction-Reward's Core Features & Benefits
The Core Features
- Prediction network modules for peer action forecasting
- Dynamic reward allocation across multiple agents
- Environment wrappers for common cooperative benchmarks
- Configurable training pipelines and hyperparameters
- Logging and visualization of performance metrics
The Benefits
- Facilitates reproducible multi-agent RL research
- Enhances cooperative behavior via predictive rewards
- Modular design for easy extension and customization
- Built-in examples for rapid experimentation
- Benchmark-friendly integration with existing RL pipelines
Multiagent-Prediction-Reward's Main Use Cases & Applications
- Evaluating cooperative strategies in grid-world tasks
- Benchmarking novel reward functions in multi-agent games
- Academic research on emergent collaboration behaviors
- Developing new algorithms for decentralized control
FAQs of Multiagent-Prediction-Reward
Multiagent-Prediction-Reward Company Information
Multiagent-Prediction-Reward Reviews
5/5
Multiagent-Prediction-Reward's Main Competitors and alternatives?
- OpenAI Baselines
- RLlib
- Stable Baselines3
- PettingZoo
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