Learning, Inference and Control of Multi-Agent Systems · Learning, Inference and Control of...
Transcript of Learning, Inference and Control of Multi-Agent Systems · Learning, Inference and Control of...
Learning, Inference and Control of Multi-AgentSystems
NIPS 2015 Workshop, Montreal, Canada
Organizers:
Vicenc GomezGerhard NeumannJonathan Yedidia
Peter Stone
December 14, 2015
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Multi-Agent System
A system composed of multiple interacting intelligent agentswithin a single environment
I Power networks
I Robotic swarms
I Software agents
I Traffic systems
I . . .
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Motivation
I Many of the challenges addressed by the NIPS communityhave a strong multi-agent component
I This community is under-represented at NIPS
Goal
I Review the state-of-the-art multi-agent systems
I Fill the gap between NIPS and multi-agent communities
Major topics of this workshop
I Learning and Planning in multi-agent systems
I Game theory
I Complex systems
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Learning and Planning in MAS
Challenges
I Multiple learners
I Stochastic optimal policies
I Curse of dimensionality
I Social agents
I Centralized vs Decentralized
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Game Theory
Challenges
I Finding / Learning NashEquilibria and other solutionconcepts
I Imperfect information games
I Optimality againstsub-optimal opponents
I Opponent Modelling
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Complex systems
Challenges
I Emergence
I Self-organization
I Bio-inspired systems
I Multi-Scale Control
I Coordination,Communication
I Decentralized decisionmaking
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Roderich Gross(University of Sheffield)
8:40 - 9:20 “Less is more? New approaches for swarm controland inference”
swarm robotics, self-organized systems, natural computing,mathematical biology
Karl Tuyls(University ofLiverpool)
Peter Stone(University ofTexas)
9:20 - 10:00 “Towards a Unification of Paradigmatic Realizationsof Multi-Agent Learning”
Bio-inspired systems, evolutionary game theory, multi-agentdecision making
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Michael L. Littman(Brown University)
10:30 – 11:10 “Coordination and Joint Intention”
Reinforcement learning, human-robot interaction
Michael Bowling(University of Alberta)
14:30 - 15:10 “von Neumann’s Dream”
Games, reinforcement learning, subjective representations ofknowledge, robotics
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
Frans Oliehoek(University of Amsterdam)
16:30 – 17:10 “Multiagent Learning, Planning & Influences”
Planning, probabilistic inference in graphical models, POMDPs
Vito Trianni(Italian National Research Council)
17:10 - 17:50 “Collective Decisions: Where Swarms Dare”
Swarm intelligence, relationship between collective behavior andcognition
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
12:00 Best Poster Award!
Learning, Inference and Control of Multi-Agent SystemsNIPS 2015 Workshop, Montreal, Canada
12:00 Best Poster Award!
Miao Liu“Policy Based Reinforcement Learning in DEC-POMDPs withBayesian Nonparametrics”