
- Regulating Air Traffic Flow with Coupled Agents Adrian Agogino
- Efficient Agent-Based Cluster Ensembles Adrian Agogino
- Collective Intelligence and Braess' Paradox Kagan Tumer and David Wolpert
- Robust Order Statistics based Ensembles for Distributed Data Mining Kagan Tumer
- ERROR CORRELATION AND ERROR REDUCTION IN ENSEMBLE CLASSIFIERS
- Reinforcement Learning in Distributed Domains: Beyond Team Games
- To appear in Advances in Neural Information Processing Systems 11, eds, M. Kearns, S. Solla and D. Cohn, pp. xxx-xxx, MIT Press, 1999.
- QUICR-learning for Multi-Agent Coordination Adrian K. Agogino
- Efficient Credit Assignment through Evaluation Function Decomposition
- Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems
- Classifier Combining through Trimmed Means and Order Statistics
- GENERAL PRINCIPLES OF LEARNING-BASED MULTI-AGENT SYSTEMS David H. Wolpert
- Distributed Evaluation Functions for Fault Tolerant Multi-Rover Systems
- Entropy Based Anomaly Detection Applied to Space Shuttle Main Engines
- 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any c
- Advances in Complex Systems, Vol. 12, Nos. 4 & 5 (2009) 455473 c World Scientific Publishing Company
- Analyzing and Visualizing Multi-Agent Rewards in Dynamic and Stochastic Domains
- APS/123-QED Improving Search Algorithms by Using Intelligent Coordinates
- Bayes Error Rate Estimation using Classifier Ensembles
- Robust Combining of Disparate Classifiers through Order Statistics Kagan Tumer
- Optimal Payoff Functions for Members of Collectives David H. Wolpert
- Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer
- Providing effective access to shared resources: a COIN Stephane Airiau
- Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach Kagan Tumer
- Aligning social welfare and agent preferences to alleviate traffic congestion
- Efficient Agent-Based Models for Non-Genomic Evolution Nachi Gupta
- Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments
- Unifying Temporal and Structural Credit Assignment Problems Adrian K. Agogino
- Time-Extended Policies in Multi-Agent Reinforcement Learning
- Team Formation and Communication Restrictions in Collectives
- Efficient Reward Functions for Adaptive Multi-Rover Systems
- Complexity Signatures for System Health Monitoring Kagan Tumer and Adrian Agogino
- 100 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, VOL. 25, NO. 4, APRIL 1995 Designing Genetic Algorithms for the State
- Advances in Complex Systems, Vol. 12, Nos. 4 & 5 (2009) 475492 c World Scientific Publishing Company
- Input Decimated Ensembles Kagan Tumer
- Multi-Agent Reward Analysis for Learning in Noisy Domains Adrian K. Agogino
- Handling Communication Restrictions and Team Formation in Congestion Games
- Distributed Agent-Based Air Traffic Flow Management Kagan Tumer
- Efficient Evaluation Functions for Multi-Rover Adrian Agogino1 and Kagan Tumer2
- Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
- ANALYSIS OF DECISION BOUNDARIES IN LINEARLY COMBINED NEURAL CLASSIFIERS
- A Survey of Collectives Kagan Tumer1
- Traffic Congestion Management as a Learning Agent Coordination Problem
- Shaping Fitness Functions for Coevolving Cooperative Multiagent Systems
- Improving Air Traffic Management through Agent Suggestions
- DOI: sample Aligning Agent Objectives for
- A Multiagent Approach to Managing Air Traffic Flow Adrian K. Agogino (adrian.k.agogino@nasa.gov)
- Efficient Evaluation Functions for Evolving Coordination
- Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control
- Agent Fitness Functions for Evolving Coordinated Sensor Networks
- Optimizing Ballast Design of Wave Energy Converters Using Evolutionary Algorithms
- Modeling Difference Rewards for Multiagent Learning Scott Proper