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Erin J. Talvitie
Erin J. Talvitie
Associate Professor of Computer Science, Harvey Mudd College
Verified email at cs.hmc.edu - Homepage
Title
Cited by
Cited by
Year
Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents
MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ...
Journal of Artificial Intelligence Research 61, 523-562, 2018
5862018
State of the art control of atari games using shallow reinforcement learning
Y Liang, MC Machado, E Talvitie, M Bowling
arXiv preprint arXiv:1512.01563, 2015
1372015
Model Regularization for Stable Sample Rollouts
E Talvitie
Uncertainty in Artificial Intelligence, 2014
1002014
Self-Correcting Models for Model-Based Reinforcement Learning
E Talvitie
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
882017
An Experts Algorithm for Transfer Learning.
E Talvitie, S Singh
International Joint Conference on Artificial Intelligence, 1065-1070, 2007
602007
Skip Context Tree Switching
MG Bellemare, J Veness, E Talvitie
International Conference on Machine Learning, 2014
512014
The effect of planning shape on dyna-style planning in high-dimensional state spaces
GZ Holland, EJ Talvitie, M Bowling
arXiv preprint arXiv:1806.01825, 2018
502018
Selective dyna-style planning under limited model capacity
Z Abbas, S Sokota, E Talvitie, M White
International Conference on Machine Learning, 1-10, 2020
312020
Hallucinating value: A pitfall of dyna-style planning with imperfect environment models
T Jafferjee, E Imani, E Talvitie, M White, M Bowling
arXiv preprint arXiv:2006.04363, 2020
242020
Simple local models for complex dynamical systems
E Talvitie, S Singh
Advances in Neural Information Processing Systems, 1617-1624, 2009
242009
Agnostic system identification for monte carlo planning
E Talvitie
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
212015
Learning to Make Predictions In Partially Observable Environments Without a Generative Model.
E Talvitie, S Singh
Journal of Artificial Intelligence Research (JAIR) 42, 353-392, 2011
202011
Policy Tree: Adaptive Representation for Policy Gradient
UD Gupta, E Talvitie, M Bowling
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
162015
Learning the reward function for a misspecified model
E Talvitie
International Conference on Machine Learning, 4838-4847, 2018
132018
Improving exploration in UCT using local manifolds
S Srinivasan, E Talvitie, M Bowling
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
112015
Learning partially observable models using temporally abstract decision trees
E Talvitie
Advances in Neural Information Processing Systems 25, 2012
72012
Maintaining Predictions over Time without a Model.
E Talvitie, S Singh
International Joint Conference on Artificial Intelligence, 1249-1254, 2009
62009
Pairwise relative offset features for atari 2600 games
E Talvitie, M Bowling
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
42015
Simple Partial Models for Complex Dynamical Systems
E Talvitie, S Singh
The University of Michigan, 2010
42010
Building Incomplete but Accurate Models.
E Talvitie, B Wolfe, S Singh
International Symposium on Artificial Intelligence and Mathematics, 2008
32008
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