master-thesis issueshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues2020-01-14T10:22:56Zhttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/24Postprocessing Implementation2020-01-14T10:22:56ZDaniel LukatsPostprocessing ImplementationOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/23Include feedback from meeting 1 in README2020-03-12T11:20:05ZDaniel LukatsInclude feedback from meeting 1 in READMEOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/22Value Function Loss2020-01-17T09:47:40ZDaniel LukatsValue Function LossOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/21Agent Parallelization2020-02-13T09:46:52ZDaniel LukatsAgent ParallelizationRun several games at once for my diverse sampling. Possible solutions:
- MPI
- multiprocessingRun several games at once for my diverse sampling. Possible solutions:
- MPI
- multiprocessingOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/20Negative action head output breaks categorical initialization2020-01-06T12:26:52ZDaniel LukatsNegative action head output breaks categorical initializationOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/19Experiment Setup2020-03-10T13:38:53ZDaniel LukatsExperiment SetupOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/18PPO CLIP2020-01-20T12:34:17ZDaniel LukatsPPO CLIPOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/17PPO KLPEN2020-01-16T10:14:16ZDaniel LukatsPPO KLPENOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/16Inverse Dynamics Features2020-03-06T09:00:20ZDaniel LukatsInverse Dynamics FeaturesOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/15Variational Autoencoder2020-03-06T09:00:22ZDaniel LukatsVariational AutoencoderOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/14Random Features2020-03-06T09:00:25ZDaniel LukatsRandom FeaturesOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/13Gym State Channel Order2020-01-16T10:14:29ZDaniel LukatsGym State Channel OrderOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/12Auto Devops Test Pipeline2020-01-16T10:14:34ZDaniel LukatsAuto Devops Test PipelineAutomagically run all unit tests on each commitAutomagically run all unit tests on each commitOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/11REINFORCE Atari Test2020-03-06T09:00:30ZDaniel LukatsREINFORCE Atari TestOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/10Background Lectures2020-05-12T19:46:46ZDaniel LukatsBackground LecturesOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/9Goal Specification2020-01-16T10:14:44ZDaniel LukatsGoal SpecificationDeclare must haves, nice to havesDeclare must haves, nice to havesOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/8Common Architecture2020-02-13T09:45:30ZDaniel LukatsCommon ArchitectureOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/7Shared Value Function + Policy Parameters2020-01-16T10:14:52ZDaniel LukatsShared Value Function + Policy ParametersOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/6Value Function Implementation2020-01-16T10:14:56ZDaniel LukatsValue Function ImplementationOfficial datesDaniel LukatsDaniel Lukatshttps://git.fh-muenster.de/dl337788/master-thesis/-/issues/5Feature Extraction2020-03-06T09:00:28ZDaniel LukatsFeature ExtractionFeature extraction as outlined in Large-Scale Study of Curiosity-Driven Learning
- Autoencoder
- Pixels
- Random Features
- IDFFeature extraction as outlined in Large-Scale Study of Curiosity-Driven Learning
- Autoencoder
- Pixels
- Random Features
- IDFOfficial datesDaniel LukatsDaniel Lukats