Optimizing univector field navigation parameters using cma-es
TP Baldão, MROA Maximo… - 2021 Latin American …, 2021 - ieeexplore.ieee.org
A path planning algorithm that fits well in the context of IEEE Very Small Size Soccer league,
a mobile robotics competition where cubic differential robots play a soccer match …
a mobile robotics competition where cubic differential robots play a soccer match …
Reinforcement Learning Applied to Very Small Size Soccer Decision-Making, Trajectory Planning and Control In Penalty Kicks
TP Baldão, MROA Maximo… - … Brazilian Symposium on …, 2024 - ieeexplore.ieee.org
In this work, we propose a Reinforcement Learning (RL) training methodology using
Proximal Policy Optimization (PPO) and Curriculum Learning (CL) to make simulated Very …
Proximal Policy Optimization (PPO) and Curriculum Learning (CL) to make simulated Very …
Exploring multi-agent deep reinforcement learning in IEEE very small size soccer
FB MARTINS - 2023 - bdtd.ibict.br
Robot soccer is regarded as a prime example of a dynamic and cooperative multi-agent
environment, as it can demonstrate a variety of complexities. Reinforcement learning is a …
environment, as it can demonstrate a variety of complexities. Reinforcement learning is a …
[图书][B] Hypernetworks Analysis of RoboCup Interactions
R Rossi - 2022 - search.proquest.com
Robotic soccer simulations are controlled environments in which the rich variety of
interactions among agents make them good candidates to be studied as complex adaptive …
interactions among agents make them good candidates to be studied as complex adaptive …
[引用][C] DyLam: a dynamic reward weighting method for reinforcement learning policy gradient algorithms
MG MACHADO - 2022 - Universidade Federal de …
[引用][C] A comparison between deep reinforcement learning methods applied to the control of a mobile robot in a Very Small Size Soccer environment
NI Schmitt, BS de Castro, AR Cukla, G Tarnowski…