| * | 2009 |
|---|
| 26 | EE | Adrian K. Agogino,
Kagan Tumer:
Improving air traffic management through agent suggestions.
AAMAS (2) 2009: 1271-1272 |
| 25 | EE | Kagan Tumer,
Adrian K. Agogino:
Improving Air Traffic Management with a Learning Multiagent System.
IEEE Intelligent Systems 24(1): 18-21 (2009) |
| 2008 |
|---|
| 24 | | Kagan Tumer,
Adrian K. Agogino:
Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach.
AAAI 2008: 1581-1584 |
| 23 | EE | Adrian K. Agogino,
Kagan Tumer:
Regulating air traffic flow with coupled agents.
AAMAS (2) 2008: 535-542 |
| 22 | EE | Kagan Tumer,
Zachary T. Welch,
Adrian K. Agogino:
Aligning social welfare and agent preferences to alleviate traffic congestion.
AAMAS (2) 2008: 655-662 |
| 21 | EE | Adrian K. Agogino,
Kagan Tumer:
Analyzing and visualizing multiagent rewards in dynamic and stochastic domains.
Autonomous Agents and Multi-Agent Systems 17(2): 320-338 (2008) |
| 20 | EE | Adrian K. Agogino,
Kagan Tumer:
Efficient Evaluation Functions for Evolving Coordination.
Evolutionary Computation 16(2): 257-288 (2008) |
| 19 | EE | Kagan Tumer,
Adrian K. Agogino:
Ensemble clustering with voting active clusters.
Pattern Recognition Letters 29(14): 1947-1953 (2008) |
| 2007 |
|---|
| 18 | EE | Kagan Tumer,
Adrian K. Agogino:
Distributed agent-based air traffic flow management.
AAMAS 2007: 255 |
| 17 | EE | Adrian K. Agogino,
Kagan Tumer:
Evolving distributed agents for managing air traffic.
GECCO 2007: 1888-1895 |
| 16 | EE | Kagan Tumer,
Adrian K. Agogino:
Evolving Multi Rover Systems in Dynamic and Noisy Environments.
Evolutionary Computation in Dynamic and Uncertain Environments 2007: 371-387 |
| 2006 |
|---|
| 15 | | Adrian K. Agogino,
Kagan Tumer:
QUICR-Learning for Multi-Agent Coordination.
AAAI 2006 |
| 14 | EE | Adrian K. Agogino,
Kagan Tumer:
Efficient agent-based cluster ensembles.
AAMAS 2006: 1079-1086 |
| 13 | EE | Nachi Gupta,
Adrian K. Agogino,
Kagan Tumer:
Efficient agent-based models for non-genomic evolution.
AAMAS 2006: 58-64 |
| 12 | EE | Adrian K. Agogino,
Kagan Tumer:
Distributed evaluation functions for fault tolerant multi-rover systems.
GECCO 2006: 1079-1086 |
| 11 | EE | Adrian K. Agogino,
Kagan Tumer:
Handling Communication Restrictions and Team Formation in Congestion Games.
Autonomous Agents and Multi-Agent Systems 13(1): 97-115 (2006) |
| 2005 |
|---|
| 10 | EE | Adrian K. Agogino,
Kagan Tumer:
Multi-agent reward analysis for learning in noisy domains.
AAMAS 2005: 81-88 |
| 9 | EE | Adrian K. Agogino,
Kagan Tumer,
Risto Miikkulainen:
Efficient credit assignment through evaluation function decomposition.
GECCO 2005: 1309-1316 |
| 8 | EE | Kagan Tumer,
Adrian K. Agogino:
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments.
GECCO 2005: 591-598 |
| 7 | EE | Kagan Tumer,
Adrian K. Agogino:
Efficient Reward Functions for Adaptive Multi-rover Systems.
LAMAS 2005: 177-191 |
| 2004 |
|---|
| 6 | EE | Kagan Tumer,
Adrian K. Agogino:
Time-Extended Policies in Multi-Agent Reinforcement Learning.
AAMAS 2004: 1338-1339 |
| 5 | EE | Adrian K. Agogino,
Kagan Tumer:
Unifying Temporal and Structural Credit Assignment Problems.
AAMAS 2004: 980-987 |
| 4 | EE | Adrian K. Agogino,
Kagan Tumer:
Efficient Evaluation Functions for Multi-rover Systems.
GECCO (1) 2004: 1-11 |
| 2003 |
|---|
| 3 | EE | Adrian K. Agogino,
Kagan Tumer:
Team formation and communication restrictions in collectives.
AAMAS 2003: 916-917 |
| 2002 |
|---|
| 2 | EE | Kagan Tumer,
Adrian K. Agogino,
David Wolpert:
Learning sequences of actions in collectives of autonomous agents.
AAMAS 2002: 378-385 |
| 2000 |
|---|
| 1 | | Adrian K. Agogino,
Kenneth O. Stanley,
Risto Miikkulainen:
Online Interactive Neuro-evolution.
Neural Processing Letters 11(1): 29-38 (2000) |
