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Populating agent-based models with agents who give rise to dynamics and scenarios of interest
The Simple Agent Development Kit.
Learning to trade under the reinforcement learning framework
large population models
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, debates, and refines responses, it enables complex problem-solving and precise results. Now with Prompt Caching to reduce latency and costs.
SARL Agent-Oriented Programming Language http://www.sarl.io
Multi-Agent System for Science of Science
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
An agent library for systems of nested automata.
CORMAS (COmmon pool Ressources and Multi-Agent Simulations)
Covid Epidemics Simulation with Simpy