7 citations · 16 across the 22 of their papers we have counts for
3 papers · 1 filter
Constrained Learning for Decentralized Multi-Objective Coverage Control
Juan Cervino, Saurav Agarwal, Vijay Kumar +1
The multi-objective coverage control problem requires a robot swarm to collaboratively provide sensor coverage to multiple heterogeneous importance density fields IDFs simultaneous…
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples
Juan Cervino, Harshat Kumar, Alejandro Ribeiro
We consider the problem of finding a policy that maximizes an expected reward throughout the trajectory of an agent that interacts with an unknown environment. Frequently denoted R…
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana +1
Reinforcement learning (RL) is a framework to optimize a control policy using rewards that are revealed by the system as a response to a control action. In its standard form, RL in…