38 citations · 112 across the 12 of their papers we have counts for
3 papers · 1 filter
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
Victor Gallego, David Rios Insua
A framework to boost the efficiency of Bayesian inference in probabilistic programs is introduced by embedding a sampler inside a variational posterior approximation. We call it th…
Opponent Aware Reinforcement Learning
Victor Gallego, Roi Naveiro, David Rios Insua +1
In certain reinforcement learning (RL) scenarios there are adversaries trying to interfere with the underlying reward process for their own benefit. We introduce Threatened Markov…
Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
In several reinforcement learning (RL) scenarios, mainly in security settings, there may be adversaries trying to interfere with the reward generating process. In this paper, we in…