ugur kuter hujfracsumdedu many apologies receive cfp multiple times first call papers workshop artificial intelligence planning learning aipl07 providence rhode island september 22 2007 organized conjunction international conference automated planning scheduling icaps07 workshop web site httpwwwcsumdukuterusersukutericaps07aipl great strides made automated ai planning recent years including efficient planning techniques use controlled search domainspecific andor domainindependent heuristics constraintsatisfaction techniques reasoning time resources modelchecking based planning algorithms effectiveness techniques demonstrated past international planning competitions extent real world applications navigation tasks space operations railway control rescueevacuation tasks one challenge planning systems require domain expert provide sort planning knowledge system many realistic planning problems however planning knowledge may completely available partly hard compile knowledge due complexities domains eg evacuation rescue operations partly expert provide eg space operations complex domains planning system learn knowledge develop ways operate world holds great promise successful always interest research developing new techniques intersection ai planning learning recently two communities started move towards several venues biggest evidence trend recent projects initiated major funding agencies throughout world eg darpa grand challenge integrated learning transfer learning programs darpa dynamic planning optimization learning dpol project nicta australia aim workshop bring researchers together ai planning machine learning communities achieve objective tentative topics covered workshop include limited theory mixing inductive deductive approaches planning learning search eg learning search heuristics learning games eg learning game evaluators end games generalizing plans across similar domains function approximation planning learning models planning relational reinforcement learning planning planning heuristics exploration reinforcement learning optimization based approaches planning applications planning learning eg methods applied past present darpa grand challenges important dates paper submissions june 15 2007 notification acceptancerejection july 13 3007 cameraready paper submissions july 31 2007 workshop intended take one full day starting 830am ending 530pm solicit paper submissions range 2 pages 6 pages standard aaai format formatting instructions available appropriate submissions meeting minimum standard asked present poster selected participants invited give 15 minute overviews unless express preference also time allocated workshop panel session especially encourage student paper submissions attendance please see workshop web site httpwwwcsumdukuterusers ukutericaps07aipl detailed information submission procedures organization ugur kuter university maryland college park usa douglas aberdeen nicta australia olivier buffet laas toulouse france peter stone university texas austin usa program committee douglas aberdeen nicta australia olivier buffet laas toulouse france alan fern oregon state university usa hector geffner universitat pompeu fabra spain robert givan purdue university usa subbaro kambhampati arizona state university usa ugur kuter university maryland college park usa hector munozavila lehigh university usa peter stone university texas austin usa sylvie thiebaux nicta australia qiang yang hong kong university science technology hong kong rong zhou parc usa thu 07 aug 2008 182233 0400 uai first call papers icaps07 workshop ai planning learning