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Travelled to:
1 × Finland
1 × Germany
1 × Israel
3 × USA
Collaborated with:
D.J.Lizotte D.F.Wilkinson D.Szafron M.M.Veloso S.A.Murphy U.Syed R.E.Schapire A.Ghodsi M.Johanson N.Burch T.Wang D.Schuurmans M.Cutumisu R.S.Sutton P.McCracken M.James J.Neufeld
Talks about:
learn (7) use (3) reinforc (2) converg (2) reward (2) action (2) sampl (2) rate (2) game (2) apprenticeship (1)

Person: Michael H. Bowling

DBLP DBLP: Bowling:Michael_H=

Contributed to:

ICML 20102010
ICML 20082008
ICML 20062006
ICML 20052005
ICML 20012001
ICML 20002000
AIIDE 20082008

Wrote 9 papers:

ICML-2010-LizotteBM #analysis #learning #multi #performance #random
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis (DJL, MHB, SAM), pp. 695–702.
ICML-2008-BowlingJBS #evaluation #game studies
Strategy evaluation in extensive games with importance sampling (MHB, MJ, NB, DS), pp. 72–79.
ICML-2008-SyedBS #learning #linear #programming #using
Apprenticeship learning using linear programming (US, MHB, RES), pp. 1032–1039.
ICML-2006-BowlingMJNW #learning #policy #predict #using
Learning predictive state representations using non-blind policies (MHB, PM, MJ, JN, DFW), pp. 129–136.
ICML-2005-BowlingGW
Action respecting embedding (MHB, AG, DFW), pp. 65–72.
ICML-2005-WangLBS #online #optimisation
Bayesian sparse sampling for on-line reward optimization (TW, DJL, MHB, DS), pp. 956–963.
ICML-2001-BowlingV #convergence #learning
Convergence of Gradient Dynamics with a Variable Learning Rate (MHB, MMV), pp. 27–34.
ICML-2000-Bowling #convergence #learning #multi #problem
Convergence Problems of General-Sum Multiagent Reinforcement Learning (MHB), pp. 89–94.
AIIDE-2008-CutumisuSBS #game studies #learning #using
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games (MC, DS, MHB, RSS).

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.