4 papers
Curriculum Imitation Learning of Distributed Multi-Robot Policies
Jesús Roche, Eduardo Sebastián, Eduardo Montijano
Learning control policies for multi-robot systems (MRS) remains a major challenge due to long-term coordination and the difficulty of obtaining realistic training data. In this wor…
Prompting Robot Teams with Natural Language
Eduardo Sebastián, Nicolas Pfitzer, Ajay Shankar +1
This paper presents a framework to prompt multi-robot teams with high-level tasks using natural language expressions. Our objective is to use the reasoning capabilities of language…
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3
Multi-agent games in dynamic nonlinear settings are challenging due to the time-varying interactions among the agents and the non-stationarity of the (potential) Nash equilibria. I…
LATMOS: Latent Automaton Task Model from Observation Sequences
Weixiao Zhan, Qiyue Dong, Eduardo Sebastián +1
Robot task planning from high-level instructions is an important step towards deploying fully autonomous robot systems in the service sector. Three key aspects of robot task planni…