Why Would We Want a Multi-Agent System Unstable
Explores Control Barrier Function methods for collision avoidance in multi-agent systems, comparing stability and effectiveness of different algorithms through simulations and vehicle experiments.
Transforming Banking with Advanced AI: GenAI, RAG, and Multi-Agent Systems
Explore how GenAI, RAG, and Multi-Agent Systems revolutionize banking operations, customer engagement, and knowledge management through real-world applications and case studies.
Harmonizing Code and Melody: Making Electronic Music with AI and Multi-Agent Systems
Explore MusicAgent: Innovative multi-agent system for composing, arranging, and producing music using Python, Sonic Pi, and LLMs. Learn live electronic music creation and AI-driven composition techniques.
Introducing Swarm: OpenAI's Groundbreaking Agent Framework with Code Examples
Explore OpenAI's Swarm framework through code examples, learning concepts and applications for multi-agent systems. Gain insights into routines, agent handoffs, context injection, and function calling.
WarpDrive: Orders of Magnitude Faster Multi-Agent Deep Reinforcement Learning on a GPU
Accelerate multi-agent deep reinforcement learning with WarpDrive, an open-source framework enabling end-to-end GPU execution. Explore features like automatic GPU tuning and distributed training for improved efficiency and scalability.
A Method to Coarse-Grain Multi-Agent Stochastic Systems with Regions of Multistability
Dive into a mathematical oncology seminar exploring coarse-graining techniques for multi-agent stochastic systems, focusing on regions of multistability in cancer modeling.
Training AI for Space: Slingshot's Ray Journey - Ray Summit 2024
Explore Slingshot Aerospace's innovative approach to managing satellites using AI and Ray-based training pipelines. Discover their multi-layered RL Gym for simulating space missions and agent training.
LlamaIndex's Vision for Intelligent AI Assistants
Explore LlamaIndex's vision for advanced AI assistants, delving into multi-agent systems, sophisticated reasoning, and cutting-edge RAG modules for tackling complex tasks across diverse data sources.
Building an Agentic Framework for Generative AI Applications
Discover how to build an agentic framework for GenAI applications, focusing on RAG-centric approaches, multilingual queries, and real-time data processing for enhanced customer assistance.
Consensus and Dissensus in Multi-population Multi-agent Systems
Explorez les jeux à champ moyen dans les systèmes multi-agents, en mettant l'accent sur les équilibres de Nash et les algorithmes d'apprentissage pour les scénarios de consensus et de dissensus.
A Bottom-Up Approach to Socially Optimal Discrete Choices Under Congestion
Explorez une approche ascendante pour optimiser les choix discrets socialement optimaux en situation de congestion, avec applications à l'évacuation de foules et à la robotique.
An Alternative View on AI: Collaborative Learning, Incentives, and Social Welfare - Lecture 2
Explore collaborative AI systems where intelligence emerges from agent interactions. Discusses economic incentives, social welfare, and dynamics in learning-based systems beyond traditional autonomous AI paradigms.
Learning Efficiency of Multi-Agent Information Structures
Explore multi-agent information structures and their learning efficiency in game theory, presented by Mira Frick at the One-World Mathematical Game Theory Seminar.
Stochastic Games with Neural Perception Mechanisms
Explore strategic reasoning in multi-agent systems using partially-observable stochastic games and neural perception mechanisms for optimal strategy synthesis in complex environments.
Connections between POMDPs and Partially Observed N-Player Mean-Field Games
Explore connections between POMDPs and partially observed n-player mean-field games. Gain insights into discrete-time models, mean-field observability, and equilibrium existence in symmetric settings.
Reverse-Engineering Human Cooperation
Explore computational models of human cooperation, integrating Bayesian learning and game theory to understand social intelligence and design cooperative AI systems.
Game Theory and Machine Learning for Addressing Societal Challenges
Explore game theory and machine learning applications for societal challenges. Learn from Fei Fang's expertise in AI, multi-agent systems, and their impact on security, sustainability, and mobility.
Distributed Computing Meets Game Theory
Explore the intersection of distributed computing and game theory, examining their synergies and applications in multi-agent systems and decision-making processes.
Optimal Execution for N Traders with Transient Price Impact
Explore optimal execution strategies for multiple traders facing transient price impact in financial markets. Gain insights into mathematical models and their applications in trading.
Guaranteed Cost Equilibrium in Infinite Horizon Linear-Quadratic Differential Games - Seminar
Explore output feedback guaranteed cost equilibrium in infinite-horizon linear-quadratic differential games, focusing on applications in engineering and multi-agent systems.
An Alternative View on AI: Collaborative Learning, Incentives, Social Welfare, and Dynamics - Lecture 3
Exploring AI beyond autonomous agents: collaborative learning, incentives, and social dynamics in AI systems, emphasizing intelligence as a property of entire systems rather than individual entities.