Erin Talvitie

According to our database, Erin Talvitie authored at least 24 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models.

Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White

J. Artif. Intell. Res., 2024

Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning.

Erin J. Talvitie, Zilei Shao, Huiying Li, Jinghan Hu, Jacob Boerma, Rory Zhao, Xintong Wang

RLJ, 2024

2023

Model AI Assignments 2023.

Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models.

Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling

CoRR, 2020

Selective Dyna-Style Planning Under Limited Model Capacity.

Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.

Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling

J. Artif. Intell. Res., 2018

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces.

G. Zacharias Holland, Erik Talvitie, Michael Bowling

CoRR, 2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract).

Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning the Reward Function for a Misspecified Model.

Erik Talvitie

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Self-Correcting Models for Model-Based Reinforcement Learning.

Erik Talvitie

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

State of the Art Control of Atari Games Using Shallow Reinforcement Learning.

Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Pairwise Relative Offset Features for Atari 2600 Games.

Erik Talvitie, Michael H. Bowling

Proceedings of the Learning for General Competency in Video Games, 2015

Agnostic System Identification for Monte Carlo Planning.

Erik Talvitie

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Improving Exploration in UCT Using Local Manifolds.

Sriram Srinivasan, Erik Talvitie, Michael H. Bowling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Policy Tree: Adaptive Representation for Policy Gradient.

Ujjwal Das Gupta, Erik Talvitie, Michael Bowling

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Model Regularization for Stable Sample Rollouts.

Erik Talvitie

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Skip Context Tree Switching.

Marc G. Bellemare, Joel Veness, Erik Talvitie

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

Learning Partially Observable Models Using Temporally Abstract Decision Trees.

Erik Talvitie

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Learning to Make Predictions In Partially Observable Environments Without a Generative Model.

Erik Talvitie, Satinder Singh

J. Artif. Intell. Res., 2011

2010

Simple Partial Models for Complex Dynamical Systems.

Erik Talvitie

PhD thesis, 2010

2009

Maintaining Predictions over Time without a Model.

Erik Talvitie, Satinder Singh

Proceedings of the IJCAI 2009, 2009

2008

Simple Local Models for Complex Dynamical Systems.

Erik Talvitie, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Building Incomplete but Accurate Models.

Erik Talvitie, Britton Wolfe, Satinder Singh

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

2007

An Experts Algorithm for Transfer Learning.

Erik Talvitie, Satinder Singh

Proceedings of the IJCAI 2007, 2007