Visualization of radial basis function networks. - Adrian K. Agogino; Joydeep Ghosh; Cheryl E. Martin (IJCNN, 1999)

The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. - Adrian K. Agogino; Joydeep Ghosh; Stavros J. Perantonis; Vassilis Virvilis; Sergios Petridis; Paulo J. G. Lisboa (IJCNN (3), 2000)

Online Interactive Neuro-evolution. - Adrian K. Agogino; Kenneth O. Stanley; Risto Miikkulainen (Neural Process. Lett., 2000)

Learning sequences of actions in collectives of autonomous agents. - Kagan Tumer; Adrian K. Agogino; David H. Wolpert (AAMAS, 2002)

Team formation and communication restrictions in collectives. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2003)

Unifying Temporal and Structural Credit Assignment Problems. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2004)

Time-Extended Policies in Multi-Agent Reinforcement Learning. - Kagan Tumer; Adrian K. Agogino (AAMAS, 2004)

Efficient Evaluation Functions for Multi-rover Systems. - Adrian K. Agogino; Kagan Tumer (GECCO (1), 2004)

Overcoming communication restrictions in collectives. - Kagan Tumer; Adrian K. Agogino (IJCNN, 2004)

Multi-agent reward analysis for learning in noisy domains. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2005)

Efficient credit assignment through evaluation function decomposition. - Adrian K. Agogino; Kagan Tumer; Risto Miikkulainen (GECCO, 2005)

Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. - Kagan Tumer; Adrian K. Agogino (GECCO, 2005)

Efficient Reward Functions for Adaptive Multi-rover Systems. - Kagan Tumer; Adrian K. Agogino (LAMAS, 2005)

QUICR-Learning for Multi-Agent Coordination. - Adrian K. Agogino; Kagan Tumer (AAAI, 2006)

Efficient agent-based cluster ensembles. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2006)

Efficient agent-based models for non-genomic evolution. - Nachi Gupta; Adrian K. Agogino; Kagan Tumer (AAMAS, 2006)

Distributed evaluation functions for fault tolerant multi-rover systems. - Adrian K. Agogino; Kagan Tumer (GECCO, 2006)

Handling Communication Restrictions and Team Formation in Congestion Games. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2006)

Distributed agent-based air traffic flow management. - Kagan Tumer; Adrian K. Agogino (AAMAS, 2007)

Evolving distributed agents for managing air traffic. - Adrian K. Agogino; Kagan Tumer (GECCO, 2007)

Evolving Multi Rover Systems in Dynamic and Noisy Environments. - Kagan Tumer; Adrian K. Agogino (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. - Kagan Tumer; Adrian K. Agogino (AAAI, 2008)

Regulating air traffic flow with coupled agents. - Adrian K. Agogino; Kagan Tumer (AAMAS (2), 2008)

Aligning social welfare and agent preferences to alleviate traffic congestion. - Kagan Tumer; Zachary T. Welch; Adrian K. Agogino (AAMAS (2), 2008)

Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2008)

Efficient Evaluation Functions for Evolving Coordination. - Adrian K. Agogino; Kagan Tumer (Evol. Comput., 2008)

Ensemble clustering with voting active clusters. - Kagan Tumer; Adrian K. Agogino (Pattern Recognit. Lett., 2008)

Traffic Congestion Management as a Learning Agent Coordination Problem. - Kagan Tumer; Zachary T. Welch; Adrian K. Agogino (Multi-Agent Systems for Traffic and Transportation Engineering, 2009)

Improving air traffic management through agent suggestions. - Adrian K. Agogino; Kagan Tumer (AAMAS (2), 2009)

Evaluating evolution and monte carlo for controlling air traffic flow. - Adrian K. Agogino (GECCO (Companion), 2009)

Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control. - Adrian K. Agogino; Kagan Tumer (Adv. Complex Syst., 2009)

Multiagent Learning for Black Box System Reward Functions. - Kagan Tumer; Adrian K. Agogino (Adv. Complex Syst., 2009)

Improving Air Traffic Management with a Learning Multiagent System. - Kagan Tumer; Adrian K. Agogino (IEEE Intell. Syst., 2009)

Component evolution for large scale air traffic optimization. - Adrian K. Agogino (GECCO (Companion), 2010)

A Multiagent Coordination Approach to Robust Consensus Clustering. - Adrian K. Agogino; Kagan Tumer (Adv. Complex Syst., 2010)

Agent-based resource allocation in dynamically formed CubeSat constellations. - Chris HolmesParker; Adrian K. Agogino (AAMAS, 2011)

Evolving distributed resource sharing for cubesat constellations. - Adrian K. Agogino; Chris HolmesParker; Kagan Tumer (GECCO, 2012)

Evolving large scale UAV communication system. - Adrian K. Agogino; Chris HolmesParker; Kagan Tumer (GECCO, 2012)

A multiagent approach to managing air traffic flow. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2012)

Addressing hard constraints in the air traffic problem through partitioning and difference rewards. - William J. Curran; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

CLEAN rewards for improving multiagent coordination in the presence of exploration. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

Learning to control complex tensegrity robots. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (AAMAS, 2013)

Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. - William J. Curran; Adrian K. Agogino; Kagan Tumer (GECCO (Companion), 2013)

Controlling tensegrity robots through evolution. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (GECCO, 2013)

Using reward/utility based impact scores in partitioning. - William J. Curran; Adrian K. Agogino; Kagan Tumer (AAMAS, 2014)

CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract). - Chris HolmesParker; Matthew E. Taylor; Adrian K. Agogino; Kagan Tumer (AAMAS, 2014)

Hierarchical simulation for complex domains: air traffic flow management. - William J. Curran; Adrian K. Agogino; Kagan Tumer (GECCO, 2014)

Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (GECCO, 2014)

Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (IROS, 2014)

Rapid prototyping design and control of tensegrity soft robot for locomotion. - Kyunam Kim; Adrian K. Agogino; Deaho Moon; Laqshya Taneja; Aliakbar Toghyan; Borna Dehghani; Vytas SunSpiral; Alice M. Agogino (ROBIO, 2014)

CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. - Chris HolmesParker; Matthew E. Taylor; Adrian K. Agogino; Kagan Tumer (WI-IAT (3), 2014)

Multirobot Coordination for Space Exploration. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (AI Mag., 2014)

Robust learning of tensegrity robot control for locomotion through form-finding. - Kyunam Kim; Adrian K. Agogino; Aliakbar Toghyan; Deaho Moon; Laqshya Taneja; Alice M. Agogino (IROS, 2015)

Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. - Atil Iscen; Ken Caluwaerts; Jonathan Bruce; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (Artif. Life, 2015)

Simulation of the introduction of new technologies in air traffic management. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (Connect. Sci., 2015)

A light-weight, multi-axis compliant tensegrity joint. - Steven Lessard; Jonathan Bruce; Erik Jung; Mircea Teodorescu; Vytas SunSpiral; Adrian K. Agogino (CoRR, 2015)

A lightweight, multi-axis compliant tensegrity joint. - Steven Lessard; Jonathan Bruce; Erik Jung; Mircea Teodorescu; Vytas SunSpiral; Adrian K. Agogino (ICRA, 2016)

Hopping and rolling locomotion with spherical tensegrity robots. - Kyunam Kim; Lee-Huang Chen; Brian Cera; Mallory Daly; Edward Zhu; Julien Despois; Adrian K. Agogino; Vytas SunSpiral; Alice M. Agogino (IROS, 2016)

A bio-inspired tensegrity manipulator with multi-DOF, structurally compliant joints. - Steven Lessard; Dennis Castro; William Asper; Shaurya Deep Chopra; Leya Breanna Baltaxe-Admony; Mircea Teodorescu; Vytas SunSpiral; Adrian K. Agogino (IROS, 2016)

Combining reward shaping and hierarchies for scaling to large multiagent systems. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (Knowl. Eng. Rev., 2016)

CRUX: A compliant robotic upper-extremity exosuit for lightweight, portable, multi-joint muscular augmentation. - Steven Lessard; Pattawong Pansodtee; Ash Robbins; Leya Breanna Baltaxe-Admony; James M. Trombadore; Mircea Teodorescu; Adrian K. Agogino; Sri Kurniawan (ICORR, 2017)

Inclined surface locomotion strategies for spherical tensegrity robots. - Lee-Huang Chen; Brian Cera; Edward L. Zhu; Riley Edmunds; Franklin Rice; Antonia Bronars; Ellande Tang; Saunon R. Malekshahi; Osvaldo Romero; Adrian K. Agogino; Alice M. Agogino (IROS, 2017)

Design, Simulation, and Testing of Laika, a Quadruped Robot with a Flexible Actuated Spine. - Andrew P. Sabelhaus; Lara Janse van Vuuren; Ankita Joshi; Edward Zhu; Hunter J. Garnier; Kimberly A. Sover; Jesús Navarro; Adrian K. Agogino; Alice M. Agogino (CoRR, 2018)

Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots. - Andrew P. Sabelhaus; Huajing Zhao; Edward L. Zhu; Adrian K. Agogino; Alice M. Agogino (CoRR, 2018)

Inverse Kinematics for Control of Tensegrity Soft Robots: Existence and Optimality of Solutions. - Andrew P. Sabelhaus; Adrian K. Agogino (CoRR, 2018)

Inverse Statics Optimization for Compound Tensegrity Robots. - Andrew P. Sabelhaus; Albert H. Li; Kimberly A. Sover; Jacob R. Madden; Andrew R. Barkan; Adrian K. Agogino; Alice M. Agogino (IEEE Robotics Autom. Lett., 2020)

Model-Predictive Control With Inverse Statics Optimization for Tensegrity Spine Robots. - Andrew P. Sabelhaus; Huajing Zhao; Edward L. Zhu; Adrian K. Agogino; Alice M. Agogino (IEEE Trans. Control. Syst. Technol., 2021)