An Experts Algorithm for Transfer Learning. - Erik Talvitie; Satinder Singh 001 (IJCAI, 2007)

Building Incomplete but Accurate Models. - Erik Talvitie; Britton Wolfe; Satinder Singh 001 (ISAIM, 2008)

Simple Local Models for Complex Dynamical Systems. - Erik Talvitie; Satinder Singh 001 (NIPS, 2008)

Maintaining Predictions over Time without a Model. - Erik Talvitie; Satinder Singh 001 (IJCAI, 2009)

Simple Partial Models for Complex Dynamical Systems. - Erik Talvitie (2010)

Learning to Make Predictions In Partially Observable Environments Without a Generative Model. - Erik Talvitie; Satinder Singh 001 (J. Artif. Intell. Res., 2011)

Learning Partially Observable Models Using Temporally Abstract Decision Trees. - Erik Talvitie (NIPS, 2012)

Skip Context Tree Switching. - Marc G. Bellemare; Joel Veness; Erik Talvitie (ICML, 2014)

Model Regularization for Stable Sample Rollouts. - Erik Talvitie (UAI, 2014)

Policy Tree: Adaptive Representation for Policy Gradient. - Ujjwal Das Gupta; Erik Talvitie; Michael Bowling (AAAI, 2015)

Improving Exploration in UCT Using Local Manifolds. - Sriram Srinivasan 005; Erik Talvitie; Michael H. Bowling (AAAI, 2015)

Agnostic System Identification for Monte Carlo Planning. - Erik Talvitie (AAAI, 2015)

Pairwise Relative Offset Features for Atari 2600 Games. - Erik Talvitie; Michael H. Bowling (AAAI Workshop: Learning for General Competency in Video Games, 2015)

State of the Art Control of Atari Games Using Shallow Reinforcement Learning. - Yitao Liang; Marlos C. Machado; Erik Talvitie; Michael H. Bowling (AAMAS, 2016)

Self-Correcting Models for Model-Based Reinforcement Learning. - Erik Talvitie (AAAI, 2017)

Learning the Reward Function for a Misspecified Model. - Erik Talvitie (ICML, 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 (IJCAI, 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. - Marlos C. Machado; Marc G. Bellemare; Erik Talvitie; Joel Veness; Matthew J. Hausknecht; Michael Bowling (J. Artif. Intell. Res., 2018)

Selective Dyna-Style Planning Under Limited Model Capacity. - Zaheer Abbas; Samuel Sokota; Erin Talvitie; Martha White (ICML, 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)

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; et al. (AAAI, 2023)

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)

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)