activity
20192023
most citedA Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

339 citations · 408 across the 13 of their papers we have counts for

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Showing cs.ROShow all

4 papers · 1 filter

cs.RO2023★ 3 cited

A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints

Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Maximo, Rubens Junqueira Magalhães Afonso

This work addresses the problem of motion planning for a group of nonholonomic robots under Visible Light Communication (VLC) connectivity requirements. In particular, we consider…

cs.RO2023★ 1 cited

Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach

Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

This work contributes to developing an agent based on deep reinforcement learning capable of acting in a beyond visual range (BVR) air combat simulation environment. The paper pres…

cs.RO2022★ 14 cited

Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming

Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Maximo, Rubens Junqueira Magalhães Afonso

This work is concerned with the problem of planning trajectories and assigning tasks for a Multi-Agent System (MAS) comprised of differential drive robots. We propose a multirate h…

cs.RO2019★ 3 cited

Learning Humanoid Robot Running Skills through Proximal Policy Optimization

Luckeciano C. Melo, Marcos R. O. A. Maximo

In the current level of evolution of Soccer 3D, motion control is a key factor in team's performance. Recent works takes advantages of model-free approaches based on Machine Learni…