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Overview Table: Machine Learning at RoboCup

Reference, Group League ML technique Task/Paradigm
[Akin et al., 2002], Cerberus 4LL DT, NN Colour classification
[Akin et al., 2003], Cerberus 4LL C4.5 Colour classification
[Anderson et al., 2003], Griffiths 4LL Covering Colour classification
[Andou, 1998] Simulator RL Player positioning
[Andre and Teller, 1999] Simulator GP Entire task
[Asada et al., 1999,Uchibe et al., 1996] Mid-size RL, GA Behaviors
[Balch, 1998] Teambots RL Role selection
[Bowling et al., 2003] Small-Size Mixtures of Experts Team strategy adaptation
[Bowling, 2003] Small-Size RL Behaviors
[Bowling and Veloso, 2003] Small-Size RL Behaviors
[Chan et al., 2002], UNSW 4LL C4.5 Colour classification
[Chen et al., 2003], UNSW 4LL C4.5 Colour classification
[Chernova and Veloso, 2004], CMU 4LL EC, RL Walk learning with AIBO
[Crisman et al., 2002], Washington 4LL DT Colour clustering
[Dahm and Ziegler, 2002] 4LL EC Localisation
[Fidelman and Stone, 2004], UT Austin 4LL EC, RL Ball grasping
[Gu and Hu, 2002], Essex 4LL EC, fuzzy Behaviour control
[Han and Veloso, 1998] Small-size HMM Behavior classification
[Hengst et al., 2001], UNSW 4LL Polygon growing Colour classification
[Hornby et al., 2000] 4LL EC, RL Walk evolution
[Hornby et al., 1999] 4LL EC, RL Walk learning with AIBO
[Inoue et al., 2004], Kyushu 4LL EC, RL Walk learning with AIBO
[Inoue and Wilkin, 1997] Simulator RL Player positioning, passing
[Kim and Uther, 2003], rUNSWift 4LL EC, RL Walk learning with AIBO
[Kobayashi and Yuasa, 2000], Uni Tokyo 4LL SOM, NN Motor control, ball kicking
[Kohl and Stone, 2004a], UT Austin 4LL EC, RL Walk learning with AIBO
[Kohl and Stone, 2004b], UT Austin 4LL EC, RL Walk learning with AIBO
[Kok et al., 2003] Simulator Supervised Shooting
[Lawther and Dalgliesh, 2000], UNSW 4LL Polygon growing Colour classification
[Luke et al., 1998] Simulator GP Entire task (from behaviours)
[Marceau, 2001], McGill 4LL Nearest neighbour Colour table generation
[Marsella et al., 2001] Simulator DT, RL Behaviors
[Mitsunaga and Asada, 2001], Osaka 4LL C4.5 Behavioural actions
[Mitsunaga et al., 2002], Osaka 4LL DT Landmarks, decision making
[Noda et al., 1996] Simulator NN Pass or shoot
[Pham et al., 2002], UNSW 4LL Gradient descent Localisation
[Quinlan et al., 2003], NUbots 4LL EC, RL Walk learning with AIBO
[Quinlan et al., 2004], NUbots 4LL SVM Colour classification
[Riley and Veloso, 2000] Simulator DT Behavior classification
[Röfer, 2004], German team 4LL EC, RL Walk learning with AIBO
[Sammut, 2003], rUNSWift 4LL EC, RL Walk learning with AIBO
[Stone et al., 2003], UTAustin 4LL Nearest neighbour Colour classification
[Stone and Veloso, 2000a] Simulator NN, DT, RL Behaviors,Pass selection
[Stone et al., 2005] Simulator RL 3v2 keepaway
[Veloso et al., 1998], CMU 4LL Supervised learning Colour classification
[Veloso and Uther, 1999], CMU 4LL Supervised learning Colour classification
[Wang et al., 2002], UNSW 4LL Nearest neighbour Colour classification
[Wilking and Röfer, 2004], German team 4LL DT, C4.5 Pose recognition
[Wünstel et al., 2001] Simulator SOM Behavior classification
[Zagal and Ruiz-del-Solar, 2005], Chile 4LL GA Ball kicking
[Zagal et al., 2004a], Chile 4LL GA Landmark detection
[Zagal et al., 2004b], Chile 4LL RL, EC Walking

next up previous
Next: Key Up: SIGLMAS_v05 Previous: SIGLMAS_v05
Stephan Chalup 2005-09-03