Adrian K. Agogino

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

A multiagent approach to managing air traffic flow

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2010, Autonomous Agents and Multi-Agent Systems.

Team Formation in Partially Observable Multi-Agent Systems

Kagan Tumer, Adrian K. Agogino, 2004 .

Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005, GECCO '05.

Hierarchical simulation for complex domains: air traffic flow management

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2014, GECCO.

Learning to control complex tensegrity robots

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2013, AAMAS.

Combining reward shaping and hierarchies for scaling to large multiagent systems

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2016, The Knowledge Engineering Review.

Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2015, Artificial Life.

Visualization of radial basis function networks

Adrian K. Agogino, Joydeep Ghosh, Cheryl E. Martin, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Evolutionary agent-based simulation of the introduction of new technologies in air traffic management

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2014, GECCO.

Efficient credit assignment through evaluation function decomposition

Risto Miikkulainen, Kagan Tumer, Adrian K. Agogino, 2005, GECCO '05.

Design, Simulation, and Testing of Laika, a Quadruped Robot with a Flexible Actuated Spine pdf

Alice M. Agogino, Adrian K. Agogino, Andrew P. Sabelhaus, 2018, ArXiv.

Learning sequences of actions in collectives of autonomous agents

Kagan Tumer, Adrian K. Agogino, David H. Wolpert, 2002, AAMAS '02.

CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract)

Kagan Tumer, Adrian K. Agogino, Matthew E. Taylor, 2014, AAMAS.

Efficient agent-based models for non-genomic evolution

Kagan Tumer, Adrian K. Agogino, Nachi Gupta, 2006, AAMAS '06.

CLEAN rewards for improving multiagent coordination in the presence of exploration

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2013, AAMAS.

Efficient agent-based cluster ensembles

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, AAMAS '06.

Rapid prototyping design and control of tensegrity soft robot for locomotion

Alice M. Agogino, Adrian K. Agogino, Vytas SunSpiral, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

Multirobot Coordination for Space Exploration

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2014, AI Mag..

A bio-inspired tensegrity manipulator with multi-DOF, structurally compliant joints

Adrian K. Agogino, Vytas SunSpiral, Leya Breanna Baltaxe-Admony, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Component evolution for large scale air traffic optimization

Adrian K. Agogino, 2010, GECCO '10.

QUICR-Learning for Multi-Agent Coordination

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, AAAI.

Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Controlling Tensegrity Robots through Evolution using Friction based Actuation

Adrian K. Agogino, Tejasvi Kothapalli, 2017 .

Regulating air traffic flow with coupled agents

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2008, AAMAS.

Evolving distributed resource sharing for cubesat constellations

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2012, GECCO '12.

Multiagent Learning for Black Box System Reward Functions

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2009, Adv. Complex Syst..

Simulation of the introduction of new technologies in air traffic management

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2015, Connect. Sci..

CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise

Kagan Tumer, Adrian K. Agogino, Matthew E. Taylor, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Handling Communication Restrictions and Team Formation in Congestion Games

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, Autonomous Agents and Multi-Agent Systems.

Improving Air Traffic Management with a Learning Multiagent System

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2009, IEEE Intelligent Systems.

CRUX: A compliant robotic upper-extremity exosuit for lightweight, portable, multi-joint muscular augmentation

Adrian K. Agogino, Sri Hastuti Kurniawan, Leya Breanna Baltaxe-Admony, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots pdf

Alice M. Agogino, Adrian K. Agogino, Andrew P. Sabelhaus, 2018, ArXiv.

Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2013, AAMAS.

Agent-based resource allocation in dynamically formed CubeSat constellations

Adrian K. Agogino, Chris HolmesParker, 2011, AAMAS.

Efficient Evaluation Functions for Multi-rover Systems

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, GECCO.

Controlling tensegrity robots through evolution

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2013, GECCO '13.

Hopping and rolling locomotion with spherical tensegrity robots

Alice M. Agogino, Adrian K. Agogino, Vytas SunSpiral, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Inverse Statics Optimization for Compound Tensegrity Robots

Alice M. Agogino, Adrian K. Agogino, Andrew P. Sabelhaus, 2020, IEEE Robotics and Automation Letters.

Evaluating evolution and monte carlo for controlling air traffic flow

Adrian K. Agogino, A. Agogino, 2009, GECCO '09.

A Multiagent Coordination Approach to Robust Consensus Clustering

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2010, Adv. Complex Syst..

Efficient Evaluation Functions for Evolving Coordination

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2008, Evolutionary Computation.

Evolving large scale UAV communication system

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2012, GECCO '12.

Inclined surface locomotion strategies for spherical tensegrity robots

Alice M. Agogino, Adrian K. Agogino, Osvaldo Romero, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Addressing hard constraints in the air traffic problem through partitioning and difference rewards

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2013, AAMAS.

Evolving Multi Rover Systems in Dynamic and Noisy Environments

Kagan Tumer, Adrian K. Agogino, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2013, GECCO '13 Companion.

Distributed agent-based air traffic flow management

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2007, AAMAS '07.

Time-extended policies in multi-agent reinforcement learning

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Design, Simulation, and Testing of a Flexible Actuated Spine for Quadruped Robots

Alice M. Agogino, Adrian K. Agogino, Andrew P. Sabelhaus, 2018, 1804.06527.

A lightweight, multi-axis compliant tensegrity joint

Adrian K. Agogino, Vytas SunSpiral, Jonathan Bruce, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Increasing pagerank through reinforcement learning

Adrian K. Agogino, Joydeep Ghosh, 2002 .

Efficient Reward Functions for Adaptive Multi-rover Systems

Kagan Tumer, Adrian K. Agogino, 2005, LAMAS.

Team formation and communication restrictions in collectives

Kagan Tumer, Adrian K. Agogino, 2003, AAMAS '03.

The role of multiple, linear-projection based visualization techniques in RBF-based classification of high dimensional data

Paulo J. G. Lisboa, Adrian K. Agogino, Stavros J. Perantonis, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Multi-agent reward analysis for learning in noisy domains

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005, AAMAS '05.

Quicker Q-Learning in Multi-Agent Systems

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005 .