22 Commits (3a309caafcd48da96e6dece01774d217531b669c)

Author SHA1 Message Date
TimQu 3a309caafc epochs are now uints instead of vector<int>s 8 years ago
TimQu 27ee299f63 more efficient comparison of epoch classes 8 years ago
TimQu cf91a34970 use cached memory for the epoch results 8 years ago
TimQu 9735ff98d0 SolutionType is now a single vector instead of a struct 8 years ago
TimQu d6099a91a7 Further optimizations for setEpoch + started to work on single objective mode 8 years ago
TimQu 57e604a815 optimized setCurrentEpoch a little 8 years ago
TimQu e4ac32a6fc fixed selection of considered state in reduced model and optimized setting the stepsolutions 8 years ago
TimQu 11fc1d29eb more output for statistics 8 years ago
TimQu 1bb8b3b497 only store the results that will be needed eventually 8 years ago
TimQu 62e4558af1 reduced number of states considered in the epoch model 8 years ago
TimQu 11a4f8d016 restructured initialization of modelmemory product 8 years ago
TimQu 90a7ea4907 printing timing information 8 years ago
TimQu 61a6b178b7 restricted the number of reachable product states 8 years ago
TimQu 529526593b improved structure in rewardunfolding 8 years ago
TimQu 354b3103f0 improved multi-dimensional reward unfolding 8 years ago
TimQu cf4ee1eb5f also store the initial states within an epoch model 8 years ago
TimQu 6334168fbe also store the reward choices in the epoch model 8 years ago
TimQu 3c5a270482 Further improvements for the multi dimensional reward unfolding 8 years ago
TimQu 22e375bd79 Implemented more functionality of the reward unfolding 8 years ago
TimQu fb6aa69750 started building the model for a given epoch 8 years ago
TimQu fffb9207d7 implemented basic functionality of the multi-dimensional reward unfolding 8 years ago
TimQu 7c23aab43c code skeleton for multi-dimensional reward unfolding 8 years ago