226 citations · 408 across the 9 of their papers we have counts for
6 papers · 1 filter
Recurrent Predictive State Policy Networks
Ahmed Hefny, Zita Marinho, Wen Sun +2
We introduce Recurrent Predictive State Policy (RPSP) networks, a recurrent architecture that brings insights from predictive state representations to reinforcement learning in par…
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Boyue Li +2
We present a new model, Predictive State Recurrent Neural Networks (PSRNNs), for filtering and prediction in dynamical systems. PSRNNs draw on insights from both Recurrent Neural N…
Practical Learning of Predictive State Representations
Carlton Downey, Ahmed Hefny, Geoffrey Gordon
Over the past decade there has been considerable interest in spectral algorithms for learning Predictive State Representations (PSRs). Spectral algorithms have appealing theoretica…
An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
We propose a framework for modeling and estimating the state of controlled dynamical systems, where an agent can affect the system through actions and receives partial observations…
Supervised Learning for Dynamical System Learning
Ahmed Hefny, Carlton Downey, Geoffrey Gordon
Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computatio…
A non-parametric mixture model for topic modeling over time
Avinava Dubey, Ahmed Hefny, Sinead Williamson +1
A single, stationary topic model such as latent Dirichlet allocation is inappropriate for modeling corpora that span long time periods, as the popularity of topics is likely to cha…