Erin Talvitie

Orcid: 0000-0002-7748-5611

According to our database1, Erin Talvitie authored at least 22 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023

2020
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models.
CoRR, 2020

Selective Dyna-Style Planning Under Limited Model Capacity.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.
J. Artif. Intell. Res., 2018

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces.
CoRR, 2018

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning the Reward Function for a Misspecified Model.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Self-Correcting Models for Model-Based Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
State of the Art Control of Atari Games Using Shallow Reinforcement Learning.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Pairwise Relative Offset Features for Atari 2600 Games.
Proceedings of the Learning for General Competency in Video Games, 2015

Agnostic System Identification for Monte Carlo Planning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Improving Exploration in UCT Using Local Manifolds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Policy Tree: Adaptive Representation for Policy Gradient.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Model Regularization for Stable Sample Rollouts.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Skip Context Tree Switching.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees.
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.
J. Artif. Intell. Res., 2011

2010
Simple Partial Models for Complex Dynamical Systems.
PhD thesis, 2010

2009
Maintaining Predictions over Time without a Model.
Proceedings of the IJCAI 2009, 2009

2008
Simple Local Models for Complex Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Building Incomplete but Accurate Models.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

2007
An Experts Algorithm for Transfer Learning.
Proceedings of the IJCAI 2007, 2007


  Loading...