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Found 9 papers, 5 papers with code
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
We propose an embedded data extraction module that can record the decision-making of agents in an online format.
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
The RoboCup 2D Soccer Simulation League is a stochastic, partially observable soccer environment in which 24 autonomous agents play on two opposing teams.
Denoising Opponents Position in Partial Observation Environment
Our idea is to predict opponent positions while they have yet to be seen in a finite number of cycles using machine learning methods to make more accurate actions such as pass.
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation
To conquer the challenges of C++ base codes and provide a powerful baseline for developing machine learning concepts, we introduce Pyrus, the first Python base code for SS2D.
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
The RoboCup competitions hold various leagues, and the Soccer Simulation 2D League is a major one among them.
CYRUS Soccer Simulation 2D Team Description Paper 2022
Soccer Simulation 2D League is one of the major leagues of RoboCup competitions.
Cyrus 2D Simulation Team Description Paper 2016
This description includes some explanation about algorithms and also algorithms that are being implemented by Cyrus team members.
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
We designed our model based on Deep Deterministic Policy Gradient, local view maker, and planner.
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
Experimental results show that the proposed method enhanced the performance of VVN by 55. 31 on average for long-distance missions.
