216 citations · 394 across the 33 of their papers we have counts for
4 papers · 1 filter
State2vec: Off-Policy Successor Features Approximators
Sephora Madjiheurem, Laura Toni
A major challenge in reinforcement learning (RL) is the design of agents that are able to generalize across tasks that share common dynamics. A viable solution is meta-reinforcemen…
Laplacian-regularized graph bandits: Algorithms and theoretical analysis
Kaige Yang, Xiaowen Dong, Laura Toni
We consider a stochastic linear bandit problem with multiple users, where the relationship between users is captured by an underlying graph and user preferences are represented as…
Error Analysis on Graph Laplacian Regularized Estimator
Kaige Yang, Xiaowen Dong, Laura Toni
We provide a theoretical analysis of the representation learning problem aimed at learning the latent variables (design matrix) of observations with the knowledge of the co…
Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
In this work, we study value function approximation in reinforcement learning (RL) problems with high dimensional state or action spaces via a generalized version of representation…