Search Results for author: Erin J. Talvitie

Found 2 papers, 0 papers with code

Selective Dyna-style Planning Under Limited Model Capacity

no code implementations ICML 2020 Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White

We show that heteroscedastic regression can signal predictive uncertainty arising from model inadequacy that is complementary to that which is detected by methods designed for parameter uncertainty, indicating that considering both parameter uncertainty and model inadequacy may be a more promising direction for effective selective planning than either in isolation.

Model-based Reinforcement Learning

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

no code implementations5 Jun 2018 G. Zacharias Holland, Erin J. Talvitie, Michael Bowling

Dyna is a fundamental approach to model-based reinforcement learning (MBRL) that interleaves planning, acting, and learning in an online setting.

Atari Games Model-based Reinforcement Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.