James MacGlashan

发表

Curriculum Design for Machine Learners in Sequential Decision Tasks

Matthew E. Taylor, Michael L. Littman, Bei Peng, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

Interactive Visual Clustering for Relational Data

Katsumi Tanaka, James MacGlashan, Julia Ferraioli, 2008 .

Training an Agent to Ground Commands with Reward and Punishment

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2014, AAAI 2014.

Translating English to Reward Functions

Smaranda Muresan, Marie desJardins, James MacGlashan, 2014 .

Environment-Independent Task Specifications via GLTL pdf

Ufuk Topcu, Jie Fu, Min Wen, 2017, ArXiv.

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

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2015, Autonomous Agents and Multi-Agent Systems.

Between Imitation and Intention Learning

Michael L. Littman, James MacGlashan, M. Littman, 2015, IJCAI.

Implementing the Deep Q-Network pdf

Stefanie Tellex, Melrose Roderick, James MacGlashan, 2017, ArXiv.

Showing versus doing: Teaching by demonstration

Fiery Cushman, Michael L. Littman, Joseph L. Austerweil, 2016, NIPS.

Robotic Social Feedback for Object Specification

David Whitney, Stefanie Tellex, James MacGlashan, 2015, AAAI Fall Symposia.

Gamma-Nets: Generalizing Value Estimation over Timescale pdf

Patrick M. Pilarski, Shibhansh Dohare, James MacGlashan, 2019, AAAI.

Goal-Based Action Priors

Stefanie Tellex, James MacGlashan, David Abel, 2015, ICAPS.

Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes

Marie desJardins, James MacGlashan, John Winder, 2015, IJCAI.

Discovering Subgoals in Complex Domains

Marie desJardins, James MacGlashan, Nicholay Topin, 2014, AAAI Fall Symposia.

Planning with Abstract Markov Decision Processes

Stefanie Tellex, Lawson L. S. Wong, Marie desJardins, 2017, ICAPS.

Affordances as Transferable Knowledge for Planning Agents

Stefanie Tellex, James MacGlashan, David Abel, 2014, AAAI Fall Symposia.

Confidence-Based Feature Acquisition to Minimize Training and Test Costs

Marie desJardins, Kiri Wagstaff, James MacGlashan, 2010, SDM.

Towards Behavior-Aware Model Learning from Human-Generated Trajectories

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2016, AAAI Fall Symposia.

Feature-based Joint Planning and Norm Learning in Collaborative Games

Joshua B. Tenenbaum, Michael L. Littman, Joseph L. Austerweil, 2016, CogSci.

A Game Playing System for Use in Computer Science Education

Marie desJardins, James MacGlashan, Don Miner, 2010, FLAIRS.

Flexible theft and resolute punishment: Evolutionary dynamics of social behavior among reinforcement-learning agents

Fiery Cushman, Michael L. Littman, James MacGlashan, 2014, CogSci.

Hierarchical Skill Learning for High-Level Planning

James MacGlashan, 2010, AAAI.

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

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2016, AAMAS.

Learning to Interpret Natural Language Instructions

Smaranda Muresan, Kevin Winner, Marie desJardins, 2012 .

Learning Propositional Functions for Planning and Reinforcement Learning

Stefanie Tellex, James MacGlashan, David Ellis Hershkowitz, 2015, AAAI Fall Symposia.

Multi-source option-based policy transfer

Marie desJardins, James MacGlashan, 2013 .

Reinforcement Learning as a Framework for Ethical Decision Making

Michael L. Littman, James MacGlashan, David Abel, 2016, AAAI Workshop: AI, Ethics, and Society.

Learning something from nothing: Leveraging implicit human feedback strategies

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

Interactive Learning from Policy-Dependent Human Feedback pdf

Guan Wang, Matthew E. Taylor, Michael L. Littman, 2017, ICML.

Reducing errors in object-fetching interactions through social feedback

David Whitney, Stefanie Tellex, Lawson L. S. Wong, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

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

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2014, AAAI.

Minecraft as an Experimental World for AI in Robotics

Stefanie Tellex, James MacGlashan, John Oberlin, 2015, AAAI Fall Symposia.

Interactive visual clustering

Marie desJardins, James MacGlashan, Julia Ferraioli, 2007, IUI '07.

Confidence-Based Feature Acquisition

Marie desJardins, James MacGlashan, Kiri L. Wagstaff, 2010 .

Grounding English Commands to Reward Functions

Smaranda Muresan, Stefanie Tellex, Marie desJardins, 2015, Robotics: Science and Systems.

Efficient Real-Time Inference in Temporal Convolution Networks

Peter Stone, James MacGlashan, Piyush Khandelwal, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Convergent Actor Critic by Humans

David L. Roberts, Matthew E. Taylor, Michael L. Littman, 2016 .