文件名称:DGP-IRL-master
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We propose a new approach to inverse reinforcement learning (IRL) based on the deep Gaussian process (deep GP) model, which is capable of learning complicated reward structures with few demonstrations.
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下载文件列表
压缩包 : DGP-IRL-master.zip 列表 DGP-IRL-master/ DGP-IRL-master/Binaryworld/ DGP-IRL-master/Binaryworld/binaryworldbuild.m DGP-IRL-master/Binaryworld/binaryworlddefaultparams.m DGP-IRL-master/Binaryworld/binaryworlddraw.m DGP-IRL-master/DGP-IRL UAI 2017.pdf DGP-IRL-master/LICENSE DGP-IRL-master/README.md DGP-IRL-master/deepGPIRL/ DGP-IRL-master/deepGPIRL/deepgpirldefaultparams.m DGP-IRL-master/deepGPIRL/deepgpirlrun.m DGP-IRL-master/deepGPIRL/deepgpirltransfer.m DGP-IRL-master/deepGPIRL/utils/ DGP-IRL-master/deepGPIRL/utils/ardjitkernel.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelDiagGradLambda.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelGradBeta.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelGradLambda.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelGradX.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelGradXaug.m DGP-IRL-master/deepGPIRL/utils/ardjitkernelGrad_sigma.m DGP-IRL-master/deepGPIRL/utils/calc_SigmaB.m DGP-IRL-master/deepGPIRL/utils/dgpExtractParams.m DGP-IRL-master/deepGPIRL/utils/dgpGradient.m DGP-IRL-master/deepGPIRL/utils/dgpInitModel.m DGP-IRL-master/deepGPIRL/utils/dgpObj.m DGP-IRL-master/deepGPIRL/utils/dgpObjGradient.m DGP-IRL-master/deepGPIRL/utils/dgpUpdateStats.m DGP-IRL-master/deepGPIRL/utils/dgpirlhpprior.m DGP-IRL-master/deepGPIRL/utils/dgpirlhppriorgrad.m DGP-IRL-master/deepGPIRL/utils/dgpirlkernel.m DGP-IRL-master/deepGPIRL/utils/gpirlgetstatistics.m DGP-IRL-master/deepGPIRL/utils/gpirlhpxform.m DGP-IRL-master/deepGPIRL/utils/gpirlkernel.m DGP-IRL-master/deepGPIRL/utils/gpirlsafeinv.m
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