James MacGlashan

36 papers A* 11A 4B 3C 1Misc 1Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
2022	A*	`conf`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2021	A*	`conf`	Efficient Real-Time Inference in Temporal Convolution Networks. ICRA Piyush Khandelwal, James MacGlashan, Peter R. Wurman, Peter Stone
2020	A*	`conf`	Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2019	J	`jnl`	Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2018	J	`jnl`	Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Trans. Emerg. Top. Comput. Intell. Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2017	A	`conf`	Curriculum Design for Machine Learners in Sequential Decision Tasks. AAMAS Bei Peng, James MacGlashan, Robert T. Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2017	J	`jnl`	Environment-Independent Task Specifications via GLTL. CoRR Michael L. Littman, Ufuk Topcu, Jie Fu, Charles Lee Isbell Jr., Min Wen, James MacGlashan
2017	J	`jnl`	Implementing the Deep Q-Network. CoRR Melrose Roderick, James MacGlashan, Stefanie Tellex
2017	A*	`conf`	Interactive Learning from Policy-Dependent Human Feedback. ICML James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman
2017	J	`jnl`	Interactive Learning from Policy-Dependent Human Feedback. CoRR James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman
2017	A*	`conf`	Planning with Abstract Markov Decision Processes. ICAPS Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong
2017	A*	`conf`	Reducing errors in object-fetching interactions through social feedback. ICRA David Whitney, Eric Rosen, James MacGlashan, Lawson L. S. Wong, Stefanie Tellex
2016	A	`conf`	A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. AAMAS Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2016	B	`conf`	Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil
2016	J	`jnl`	Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Auton. Agents Multi Agent Syst. Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
2016	C	`conf`	Reinforcement Learning as a Framework for Ethical Decision Making. AAAI Workshop: AI, Ethics, and Society David Abel, James MacGlashan, Michael L. Littman
2016	—	`conf`	Showing versus doing: Teaching by demonstration. NIPS Mark K. Ho, Michael L. Littman, James MacGlashan, Fiery Cushman, Joseph L. Austerweil
2016	—	`conf`	Towards Behavior-Aware Model Learning from Human-Generated Trajectories. AAAI Fall Symposia Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
2015	A*	`conf`	Between Imitation and Intention Learning. IJCAI James MacGlashan, Michael L. Littman
2015	A*	`conf`	Goal-Based Action Priors. ICAPS David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O'Farrell, James MacGlashan, Stefanie Tellex
2015	—	`conf`	Grounding English Commands to Reward Functions. Robotics: Science and Systems James MacGlashan, Monica Babes-Vroman, Marie desJardins, Michael L. Littman, Smaranda Muresan, Shawn Squire, Stefanie Tellex, Dilip Arumugam, Lei Yang
2015	—	`conf`	Learning Propositional Functions for Planning and Reinforcement Learning. AAAI Fall Symposia David Ellis Hershkowitz, James MacGlashan, Stefanie Tellex
2015	—	`conf`	Minecraft as an Experimental World for AI in Robotics. AAAI Fall Symposia Krishna Chaitanya Aluru, Stefanie Tellex, John Oberlin, James MacGlashan
2015	A*	`conf`	Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes. IJCAI Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan
2015	—	`conf`	Robotic Social Feedback for Object Specification. AAAI Fall Symposia Emily Wu, Yuxin Han, David Whitney, John Oberlin, James MacGlashan, Stefanie Tellex
2014	A*	`conf`	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. AAAI Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts
2014	—	`conf`	Affordances as Transferable Knowledge for Planning Agents. AAAI Fall Symposia Gabriel Barth-Maron, David Abel, James MacGlashan, Stefanie Tellex
2014	—	`conf`	Discovering Subgoals in Complex Domains. AAAI Fall Symposia Marie desJardins, Tenji Tembo, Nicholay Topin, Michael Bishoff, Shawn Squire, James MacGlashan, Rose Carignan, Nicholas Haltmeyer
2014	B	`conf`	Flexible theft and resolute punishment: Evolutionary dynamics of social behavior among reinforcement-learning agents. CogSci James MacGlashan, Michael L. Littman, Fiery Cushman
2014	B	`conf`	Learning something from nothing: Leveraging implicit human feedback strategies. RO-MAN Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
2010	Misc	`conf`	A Game Playing System for Use in Computer Science Education. FLAIRS James MacGlashan, Don Miner, Marie desJardins
2010	A	`conf`	Confidence-Based Feature Acquisition to Minimize Training and Test Costs. SDM Marie desJardins, James MacGlashan, Kiri L. Wagstaff
2010	A*	`conf`	Hierarchical Skill Learning for High-Level Planning. AAAI James MacGlashan
2007	A	`conf`	Interactive visual clustering. IUI Marie desJardins, James MacGlashan, Julia Ferraioli