James MacGlashan

According to our database1, James MacGlashan authored at least 33 papers between 2007 and 2022.

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Bibliography

2022
Outracing champion Gran Turismo drivers with deep reinforcement learning.
Nat., 2022

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Efficient Real-Time Inference in Temporal Convolution Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Gamma-Nets: Generalizing Value Estimation over Timescale.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Curriculum Design for Machine Learners in Sequential Decision Tasks.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

2017
Implementing the Deep Q-Network.
CoRR, 2017

Interactive Learning from Policy-Dependent Human Feedback.
CoRR, 2017

Environment-Independent Task Specifications via GLTL.
CoRR, 2017

Reducing errors in object-fetching interactions through social feedback.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Interactive Learning from Policy-Dependent Human Feedback.
Proceedings of the 34th International Conference on Machine Learning, 2017

Planning with Abstract Markov Decision Processes.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning.
Auton. Agents Multi Agent Syst., 2016

Showing versus doing: Teaching by demonstration.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Feature-based Joint Planning and Norm Learning in Collaborative Games.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Towards Behavior-Aware Model Learning from Human-Generated Trajectories.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Reinforcement Learning as a Framework for Ethical Decision Making.
Proceedings of the AI, 2016

2015
Grounding English Commands to Reward Functions.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Between Imitation and Intention Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Goal-Based Action Priors.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

Robotic Social Feedback for Object Specification.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Learning Propositional Functions for Planning and Reinforcement Learning.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Minecraft as an Experimental World for AI in Robotics.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Learning something from nothing: Leveraging implicit human feedback strategies.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Flexible theft and resolute punishment: Evolutionary dynamics of social behavior among reinforcement-learning agents.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Discovering Subgoals in Complex Domains.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

Affordances as Transferable Knowledge for Planning Agents.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2010
Confidence-Based Feature Acquisition to Minimize Training and Test Costs.
Proceedings of the SIAM International Conference on Data Mining, 2010

A Game Playing System for Use in Computer Science Education.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Hierarchical Skill Learning for High-Level Planning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2007
Interactive visual clustering.
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007


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