Effect of neuromodulation on performance in game playing: A modeling study. - Derrik E. Asher; Andrew Zaldivar; Jeffrey L. Krichmar (ICDL, 2010)

Simulation of How Neuromodulation Influences Cooperative Behavior. - Andrew Zaldivar; Derrik E. Asher; Jeffrey L. Krichmar (SAB, 2010)

The effects of neuromodulation on human-robot interaction in games of conflict and cooperation. - Derrik E. Asher; Andrew Zaldivar; Brian Barton; Alyssa A. Brewer; Jeffrey L. Krichmar (IJCNN, 2011)

Modeling individual differences in socioeconomic game playing. - Derrik E. Asher; Shunan Zhang; Andrew Zaldivar; Michael D. Lee 001; Jeffrey L. Krichmar (CogSci, 2012)

Reciprocity and Retaliation in Social Games With Adaptive Agents. - Derrik E. Asher; Andrew Zaldivar; Brian Barton; Alyssa A. Brewer; Jeffrey L. Krichmar (IEEE Trans. Auton. Ment. Dev., 2012)

Social contracts and human-computer interaction with simulated adapting agents. - Alexis B. Craig; Derrik E. Asher; Nicolas Oros; Alyssa A. Brewer; Jeffrey L. Krichmar (Adapt. Behav., 2013)

Evolution of biologically plausible neural networks performing a visually guided reaching task. - Derrik E. Asher; Jeffrey L. Krichmar; Nicolas Oros (GECCO, 2014)

The Investigation of Social Media Data Thresholds for Opinion Formation. - Derrik E. Asher; Justine Caylor; Mark R. Mittrick; John T. Richardson; Eric Heilman; Elizabeth K. Bowman; György Korniss; Boleslaw K. Szymanski (CoRR, 2017)

Coordination-driven Learning in Multi-agent Problem Spaces. - Sean L. Barton; Nicholas R. Waytowich; Derrik E. Asher (AAAI Fall Symposium: ALEC, 2018)

Mining Personal Media Thresholds for Opinion Dynamics and Social Influence. - Casey Doyle; Alex Meandzija; György Korniss; Boleslaw K. Szymanski; Derrik E. Asher; Elizabeth K. Bowman (ASONAM, 2018)

Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning. - Sean L. Barton; Nicholas R. Waytowich; Erin G. Zaroukian; Derrik E. Asher (IHSED, 2018)

Effects of Social Media Involvement, Context, and Data-Type on Opinion Formation. - Derrik E. Asher; Justine P. Caylor; Alexis R. Neigel (SocialSens@IoTDI, 2018)

Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems. - Derrik E. Asher; Erin G. Zaroukian; Sean L. Barton (CoRR, 2018)

Using the Value of Information (VoI) Metric to Improve Sensemaking. - Mark R. Mittrick; John T. Richardson; Derrik E. Asher; Alex James; Timothy P. Hanratty (CoRR, 2018)

Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types. - Derrik E. Asher; Justine Caylor; Casey Doyle; Alexis R. Neigel; Boleslaw K. Szymanski; György Korniss (HICSS, 2019)

Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning. - Sean L. Barton; Erin G. Zaroukian; Derrik E. Asher; Nicholas R. Waytowich (IHSI, 2019)

On Memory Mechanism in Multi-Agent Reinforcement Learning. - Yilun Zhou; Derrik E. Asher; Nicholas R. Waytowich; Julie A. Shah (CoRR, 2019)

Inferring and Learning Multi-Robot Policies by Observing an Expert. - Pietro Pierpaoli; Harish Ravichandar; Nicholas R. Waytowich; Anqi Li 001; Derrik E. Asher; Magnus Egerstedt (CoRR, 2019)

Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training. - Piyush K. Sharma; Rolando Fernandez; Erin G. Zaroukian; Michael R. Dorothy; Anjon Basak; Derrik E. Asher (CoRR, 2021)

On games and simulators as a platform for development of artificial intelligence for command and control. - Vinicius G. Goecks; Nicholas R. Waytowich; Derrik E. Asher; Song Jun Park; Mark R. Mittrick; John T. Richardson; Manuel Vindiola; Anne Logie; Mark Dennison; Theron Trout; Priya Narayanan; Alexander Kott (CoRR, 2021)

Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination. - Derrik E. Asher; Anjon Basak; Rolando Fernandez; Piyush K. Sharma; Erin G. Zaroukian; Christopher D. Hsu; Michael R. Dorothy; Thomas Mahre; Gerardo Galindo; Luke Frerichs; John Rogers; John Fossaceca (CoRR, 2022)

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II. - Nicholas R. Waytowich; James Zachary Hare; Vinicius G. Goecks; Mark R. Mittrick; John T. Richardson; Anjon Basak; Derrik E. Asher (CoRR, 2022)

Emergent Behaviors in Multi-Agent Target Acquisition. - Piyush K. Sharma; Erin G. Zaroukian; Derrik E. Asher; Bryson Howell (CoRR, 2022)

CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning. - Jumman Hossain; Abu Zaher Md Faridee; Nirmalya Roy; Anjan Basak; Derrik E. Asher (ACSOS, 2023)

EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Target-Aware Visibility Estimation using Offline Reinforcement Learning. - Jumman Hossain; Abu Zaher Md Faridee; Nirmalya Roy; Derrik E. Asher; Jade Freeman; Timothy Gregory; Theron Trout (ACSOS, 2024)

Multi-Agent Synchronization Tasks. - Rolando Fernandez; Garrett Warnell; Derrik E. Asher; Peter Stone 001 (CoRR, 2024)

QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning. - Jumman Hossain; Abu Zaher Md Faridee; Derrik E. Asher; Jade Freeman; Theron Trout; Timothy Gregory; Nirmalya Roy (CoRR, 2024)