Binary of RoboCup 2014 (for Ubuntu 14.04).Binary of RoboCup 2015 (for Ubuntu 14.04).We have participated in annual competitions of RoboCup since 1999 and have won 6 world champions and 5 runners-up of RoboCup since 2005. Final of RoboCup 2006 (Brainstormers06_1-vs- WE2006_2) WrightEagle 2D Soccer Simulation Team is a branch of WrightEagle Robocup Team, established in 1998 by the Multi-Agent Systems Lab., University of Science and Technology of China (USTC).Final of RoboCup 2009 (HELIOS2009_1-vs- WrightEagle_2).Final of RoboCup 2011 ( WrightEagle_3-vs-HELIOS2011_2).The player will be moved to an open spot which will match the best with his preferred position. To add the card to the squad builder, select one of the suggested player with either your mouse or keyboard. Final of RoboCup 2012 ( HELIOS2012_4-vs-WrightEagle_1) To find a player, type a part of the name of the player and the squad builder will suggest some players matching the charaters you entered.Final of RoboCup 2013 ( WrightEagle_2-vs-HELIOS2013_0).Final of RoboCup 2014 ( WrightEagle_3-vs-Gliders2014_2).Final of RoboCup 2015 (HELIOS2015_0-vs- WrightEagle_3).Approximate planning for decentralized partially observable Markov decision processes (Dec-POMDPs).Online planning for (partially observable) Markov decision processes (MDPs and POMDPs).Hierarchical planning for large Markov decision processes (MDPs).More information regarding our approach to RoboCup 2D can be found in our recent publications.Ī video from RoboCup 2015 final – HELIOS2015 v.s. A hierarchical online planning algorithm is then developed for the agent to do online planning in realtime, exploiting subtask-specific heuristic and evaluation functions. We further decompose the sequential decision-making problem within the resulting MDP into a hierarchy of subtasks, including attack, defense, shoot, dribble, pass, intercept, position, mark, block, formation, etc. More precisely, we model the RoboCup 2D game as a Markov decision process (MDP), assuming that opponents and teammates are all rational. In order to solve it online under realtime constraints, we take advantage of rationality assumption, hierarchical decomposition, state abstraction, expectimax tree search, Monte Carlo simulation and heuristic evaluation. We model RoboCup 2D soccer simulation as a typical problem of partially observable stochastic games (POSGs).
WrightEagle 2D Soccer Simulation Team is a branch of WrightEagle Robocup Team, established in 1998 by the Multi-Agent Systems Lab., University of Science and Technology of China (USTC). WrightEagle 2D Soccer Simulation Team Multi-Agent Systems Lab., USTC |
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