2 citations · 3 across the 5 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.RO2018
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Research on reinforcement learning has demonstrated promising results in manifold applications and domains. Still, efficiently learning effective robot behaviors is very difficult,…
cs.RO2018
Q-CP: Learning Action Values for Cooperative Planning
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Research on multi-robot systems has demonstrated promising results in manifold applications and domains. Still, efficiently learning an effective robot behaviors is very difficult,…