Derrik E. Asher

According to our database, Derrik E. Asher authored at least 25 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Agent Synchronization Tasks.

Rolando Fernandez, Garrett Warnell, Derrik E. Asher, Peter Stone

CoRR, 2024

2023

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

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Emergent Behaviors in Multi-Agent Target Acquisition.

Piyush K. Sharma, Erin G. Zaroukian, Derrik E. Asher, Bryson Howell

CoRR, 2022

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II.

Nicholas R. Waytowich, James Z. Hare, Vinicius G. Goecks, Mark R. Mittrick, John T. Richardson, Anjon Basak, Derrik E. Asher

CoRR, 2022

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

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

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

2019

Inferring and Learning Multi-Robot Policies by Observing an Expert.

Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt

CoRR, 2019

On Memory Mechanism in Multi-Agent Reinforcement Learning.

Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah

CoRR, 2019

Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning.

Sean L. Barton, Erin G. Zaroukian, Derrik E. Asher, Nicholas R. Waytowich

Proceedings of the Intelligent Human Systems Integration 2019, 2019

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

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

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

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

Effects of Social Media Involvement, Context, and Data-Type on Opinion Formation.

Derrik E. Asher, Justine P. Caylor, Alexis R. Neigel

Proceedings of the 2018 International Workshop on Social Sensing, 2018

Measuring Collaborative Emergent Behavior in Multi-agent Reinforcement Learning.

Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher

Proceedings of the Human Systems Engineering and Design, 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

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Coordination-driven Learning in Multi-agent Problem Spaces.

Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018

2017

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

2014

Evolution of biologically plausible neural networks performing a visually guided reaching task.

Derrik E. Asher, Jeffrey L. Krichmar, Nicolas Oros

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

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

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

Modeling individual differences in socioeconomic game playing.

Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

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

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Simulation of How Neuromodulation Influences Cooperative Behavior.

Andrew Zaldivar, Derrik E. Asher, Jeffrey L. Krichmar

Proceedings of the From Animals to Animats 11, 2010

Effect of neuromodulation on performance in game playing: A modeling study.

Derrik E. Asher, Andrew Zaldivar, Jeffrey L. Krichmar

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010