360 citations · 2.7k across the 150 of their papers we have counts for
4 papers · 1 filter
A Matrix Splitting Perspective on Planning with Options
Pierre-Luc Bacon, Doina Precup
We show that the Bellman operator underlying the options framework leads to a matrix splitting, an approach traditionally used to speed up convergence of iterative solvers for larg…
The Option-Critic Architecture
Pierre-Luc Bacon, Jean Harb, Doina Precup
Temporal abstraction is key to scaling up learning and planning in reinforcement learning. While planning with temporally extended actions is well understood, creating such abstrac…
Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
Teng Long, Ryan Lowe, Jackie Chi Kit Cheung +1
Recent work in learning vector-space embeddings for multi-relational data has focused on combining relational information derived from knowledge bases with distributional informati…
Differentially Private Policy Evaluation
Borja Balle, Maziar Gomrokchi, Doina Precup
We present the first differentially private algorithms for reinforcement learning, which apply to the task of evaluating a fixed policy. We establish two approaches for achieving d…