Robert Tyler Loftin

According to our database, Robert Tyler Loftin authored at least 19 papers between 2013 and 2024.

Collaborative distances:

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

2024

Uncoupled Learning of Differential Stackelberg Equilibria with Commitments.

Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Towards a Unifying Model of Rationality in Multiagent Systems.

Robert Tyler Loftin, Mustafa Mert Çelikok, Frans A. Oliehoek

CoRR, 2023

Entropy Maximization in High Dimensional Multiagent State Spaces.

Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Novelty Seeking Multiagent Evolutionary Reinforcement Learning.

Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games.

Robert Tyler Loftin, Frans A. Oliehoek

Proceedings of the International Conference on Machine Learning, 2022

2021

Strategically efficient exploration in competitive multi-agent reinforcement learning.

Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2019

Interactive Learning of Environment Dynamics for Sequential Tasks.

Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts

CoRR, 2019

Better Exploration with Optimistic Actor Critic.

Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Curriculum Design for Machine Learners in Sequential Decision Tasks.

Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor

IEEE Trans. Emerg. Top. Comput. Intell., 2018

2017

Interactive Learning from Policy-Dependent Human Feedback.

James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman

CoRR, 2017

Interactive Learning from Policy-Dependent Human Feedback.

James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning.

Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts

Auton. Agents Multi Agent Syst., 2016

A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans.

Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Towards Behavior-Aware Model Learning from Human-Generated Trajectories.

Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2014

Toward Cyber-Enhanced Working Dogs for Search and Rescue.

Alper Bozkurt, David L. Roberts, Barbara L. Sherman, Rita Brugarolas, Sean Mealin, John Majikes, Pu Yang, Robert Tyler Loftin

IEEE Intell. Syst., 2014

Learning something from nothing: Leveraging implicit human feedback strategies.

Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts

Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback.

Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Improving developer participation rates in surveys.

Edward K. Smith, Robert T. Loftin, Emerson R. Murphy-Hill, Christian Bird, Thomas Zimmermann

Proceedings of the 6th International Workshop on Cooperative and Human Aspects of Software Engineering, 2013

Behavior recognition based on machine learning algorithms for a wireless canine machine interface.

Rita Brugarolas, Robert T. Loftin, Pu Yang, David L. Roberts, Barbara L. Sherman, Alper Bozkurt

Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013