Erik Talvitie

Publication Activity (10 Years)

Years Active: 2007-2018
Publications (10 Years): 9

Top Topics

Partially Observable

Reinforcement Learning

Top Venues

AAAI Workshop: Learning for General Competency in Video Games

Publications

Erik Talvitie
Learning the Reward Function for a Misspecified Model. ICML (2018)
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 (2018)
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)
G. Zacharias Holland, Erik Talvitie, Michael Bowling
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. CoRR (2018)
Erik Talvitie
Learning the Reward Function for a Misspecified Model. CoRR (2018)
Erik Talvitie
Self-Correcting Models for Model-Based Reinforcement Learning. AAAI (2017)
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 (2017)
Erik Talvitie
Self-Correcting Models for Model-Based Reinforcement Learning. CoRR (2016)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS (2016)
Ujjwal Das Gupta, Erik Talvitie, Michael Bowling
Policy Tree: Adaptive Representation for Policy Gradient. AAAI (2015)
Erik Talvitie, Michael H. Bowling
Pairwise Relative Offset Features for Atari 2600 Games. AAAI Workshop: Learning for General Competency in Video Games (2015)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR (2015)
Erik Talvitie
Agnostic System Identification for Monte Carlo Planning. AAAI (2015)
Sriram Srinivasan, Erik Talvitie, Michael H. Bowling
Improving Exploration in UCT Using Local Manifolds. AAAI (2015)
Erik Talvitie
Model Regularization for Stable Sample Rollouts. UAI (2014)
Marc G. Bellemare, Joel Veness, Erik Talvitie
Skip Context Tree Switching. ICML (2014)
Erik Talvitie, Satinder P. Singh
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. CoRR (2014)
Erik Talvitie
Learning Partially Observable Models Using Temporally Abstract Decision Trees. NIPS (2012)
Erik Talvitie, Satinder P. Singh
Learning to Make Predictions In Partially Observable Environments Without a Generative Model. J. Artif. Intell. Res. 42 (2011)
Erik Talvitie, Satinder P. Singh
Maintaining Predictions over Time without a Model. IJCAI (2009)
Erik Talvitie, Satinder P. Singh
Simple Local Models for Complex Dynamical Systems. NIPS (2008)
Erik Talvitie, Britton Wolfe, Satinder P. Singh
Building Incomplete but Accurate Models. ISAIM (2008)
Erik Talvitie, Satinder P. Singh
An Experts Algorithm for Transfer Learning. IJCAI (2007)