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2020 – today
- 2023
[c17]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:
Model AI Assignments 2023. AAAI 2023: 16104-16105- 2020
- [c16]Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White:
Selective Dyna-Style Planning Under Limited Model Capacity. ICML 2020: 1-10 - [i8]Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling:
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR abs/2006.04363 (2020) - [i7]Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White:
Selective Dyna-style Planning Under Limited Model Capacity. CoRR abs/2007.02418 (2020)
2010 – 2019
- 2018
- [j2]Marlos C. Machado
, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling:
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. J. Artif. Intell. Res. 61: 523-562 (2018) - [c15]Erik Talvitie:
Learning the Reward Function for a Misspecified Model. ICML 2018: 4845-4854 - [c14]Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling:
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). IJCAI 2018: 5573-5577 - [i6]Erik Talvitie:
Learning the Reward Function for a Misspecified Model. CoRR abs/1801.09624 (2018) - [i5]G. Zacharias Holland, Erik Talvitie, Michael Bowling:
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. CoRR abs/1806.01825 (2018) - 2017
- [c13]Erik Talvitie:
Self-Correcting Models for Model-Based Reinforcement Learning. AAAI 2017: 2597-2603 - [i4]Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling:
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents. CoRR abs/1709.06009 (2017) - 2016
- [c12]Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling:
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS 2016: 485-493 - [i3]Erik Talvitie:
Self-Correcting Models for Model-Based Reinforcement Learning. CoRR abs/1612.06018 (2016) - 2015
- [c11]Ujjwal Das Gupta, Erik Talvitie, Michael Bowling:
Policy Tree: Adaptive Representation for Policy Gradient. AAAI 2015: 2547-2553 - [c10]Erik Talvitie:
Agnostic System Identification for Monte Carlo Planning. AAAI 2015: 2986-2992 - [c9]Sriram Srinivasan, Erik Talvitie, Michael H. Bowling:
Improving Exploration in UCT Using Local Manifolds. AAAI 2015: 3386-3392 - [c8]Erik Talvitie, Michael H. Bowling:
Pairwise Relative Offset Features for Atari 2600 Games. AAAI Workshop: Learning for General Competency in Video Games 2015 - [e1]Michael Bowling, Marc G. Bellemare, Erik Talvitie, Joel Veness, Marlos C. Machado:
Learning for General Competency in Video Games, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. AAAI Technical Report WS-15-10, AAAI Press 2015, ISBN 978-1-57735-721-6 [contents] - [i2]Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling:
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR abs/1512.01563 (2015) - 2014
- [c7]Marc G. Bellemare, Joel Veness, Erik Talvitie:
Skip Context Tree Switching. ICML 2014: 1458-1466 - [c6]Erik Talvitie:
Model Regularization for Stable Sample Rollouts. UAI 2014: 780-789 - [i1]Erik Talvitie, Satinder Singh:
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. CoRR abs/1401.3870 (2014) - 2012
- [c5]Erik Talvitie:
Learning Partially Observable Models Using Temporally Abstract Decision Trees. NIPS 2012: 827-835 - 2011
- [j1]Erik Talvitie, Satinder Singh:
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. J. Artif. Intell. Res. 42: 353-392 (2011) - 2010
- [b1]Erik Talvitie:
Simple Partial Models for Complex Dynamical Systems. University of Michigan, USA, 2010
2000 – 2009
- 2009
- [c4]Erik Talvitie, Satinder Singh:
Maintaining Predictions over Time without a Model. IJCAI 2009: 1249-1254 - 2008
- [c3]Erik Talvitie, Britton Wolfe, Satinder Singh:
Building Incomplete but Accurate Models. ISAIM 2008 - [c2]Erik Talvitie, Satinder Singh:
Simple Local Models for Complex Dynamical Systems. NIPS 2008: 1617-1624 - 2007
- [c1]Erik Talvitie, Satinder Singh:
An Experts Algorithm for Transfer Learning. IJCAI 2007: 1065-1070
Coauthor Index
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last updated on 2023-10-22 22:09 CEST by the dblp team
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