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ORCIDRobert Tyler Loftin
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2020 – today
- 2024
[c14]Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek:
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS 2024: 1265-1273- 2023
- [c13]Ayhan Alp Aydeniz
, Robert Tyler Loftin, Kagan Tumer:
Novelty Seeking Multiagent Evolutionary Reinforcement Learning. GECCO 2023: 402-410 - [c12]Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer:
Entropy Maximization in High Dimensional Multiagent State Spaces. MRS 2023: 92-99 - [i7]Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek:
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR abs/2302.03438 (2023) - [i6]Robert Tyler Loftin, Mustafa Mert Çelikok, Frans A. Oliehoek:
Towards a Unifying Model of Rationality in Multiagent Systems. CoRR abs/2305.18071 (2023) - 2022
- [c11]Robert Tyler Loftin, Frans A. Oliehoek:
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. ICML 2022: 14197-14209 - [i5]Robert Tyler Loftin, Frans A. Oliehoek:
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. CoRR abs/2206.10614 (2022) - 2021
- [c10]Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann:
Strategically efficient exploration in competitive multi-agent reinforcement learning. UAI 2021: 1587-1596 - [i4]Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann:
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning. CoRR abs/2107.14698 (2021)
2010 – 2019
- 2019
- [c9]Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann:
Better Exploration with Optimistic Actor Critic. NeurIPS 2019: 1785-1796 - [i3]Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts:
Interactive Learning of Environment Dynamics for Sequential Tasks. CoRR abs/1907.08478 (2019) - [i2]Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann:
Better Exploration with Optimistic Actor-Critic. CoRR abs/1910.12807 (2019) - 2018
- [j3]Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor:
Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Trans. Emerg. Top. Comput. Intell. 2(4): 268-277 (2018) - 2017
- [c8]Bei Peng, James MacGlashan, Robert T. Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor:
Curriculum Design for Machine Learners in Sequential Decision Tasks. AAMAS 2017: 1682-1684 - [c7]James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman:
Interactive Learning from Policy-Dependent Human Feedback. ICML 2017: 2285-2294 - [i1]James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman:
Interactive Learning from Policy-Dependent Human Feedback. CoRR abs/1701.06049 (2017) - 2016
- [j2]Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts:
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Auton. Agents Multi Agent Syst. 30(1): 30-59 (2016) - [c6]Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts:
Towards Behavior-Aware Model Learning from Human-Generated Trajectories. AAAI Fall Symposia 2016 - [c5]Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor:
A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. AAMAS 2016: 957-965 - 2014
- [j1]Alper Bozkurt, David L. Roberts, Barbara L. Sherman, Rita Brugarolas, Sean Mealin, John Majikes, Pu Yang, Robert Tyler Loftin:
Toward Cyber-Enhanced Working Dogs for Search and Rescue. IEEE Intell. Syst. 29(6): 32-39 (2014) - [c4]Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts:
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. AAAI 2014: 937-943 - [c3]Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts:
Learning something from nothing: Leveraging implicit human feedback strategies. RO-MAN 2014: 607-612 - 2013
- [c2]Rita Brugarolas, Robert T. Loftin, Pu Yang, David L. Roberts, Barbara L. Sherman, Alper Bozkurt:
Behavior recognition based on machine learning algorithms for a wireless canine machine interface. BSN 2013: 1-5 - [c1]Edward K. Smith, Robert T. Loftin, Emerson R. Murphy-Hill, Christian Bird, Thomas Zimmermann:
Improving developer participation rates in surveys. CHASE@ICSE 2013: 89-92
Coauthor Index
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