SeaPearl.jl Versions Save

SeaPearl v0.4.5

Diff since v0.4.4

Closed issues:

• New package version (#404)
• pool is a type and a variable (#425)

Merged pull requests:

• Add management of cpu and random seed and clean code (#406) (@Max9294D)
• add include and parsing time to time limit (#407) (@navaxel)
• Add schedule XCSP3 tests (#408) (@jardinetsouffleton)
• Correct error getindex(nothing) in argparse. (#410) (@Max9294D)
• change default value nb_core (#411) (@Max9294D)
• Comment parser (#412) (@Max9294D)
• Tom experiments (#413) (@Max9294D)
• new settings for ppo learning (#414) (@navaxel)
• Ppo settings (#415) (@navaxel)
• Add option to enter the parameters values with a json file (#417) (@Max9294D)
• Correction for intension constraint parsing with constant (#418) (@navaxel)
• ppo update function overwritten (#419) (@navaxel)
• correct memory bug (#420) (@Max9294D)
• Sum parser (#422) (@navaxel)
• Fix XCSP3 output for undefined variables (#423) (@navaxel)
• Fix parsing issue for XCSP3 instances (#424) (@jardinetsouffleton)
• Rename abstract type pool to Pool (#426) (@CasBex)

SeaPearl v0.4.4

Diff since v0.4.3

Closed issues:

• No automatic registration of the latest SeaPearl/SeaPearlExtra/SeaPearlZoo version on the official Julia repo manager (#202)
• Write contribution and project guidelines (#248)
• Implement one impact-based search variable selection heuristic (#261)
• Increase code coverage of MOI_wrapper (#283)
• Increase coverage of various data generators (#284)
• Write best practices wiki page (#288)
• Add badges to README (#293)
• View type variables expected to have 'inner' attribute (#296)
• Update SeaPearl version (#300)
• Add regular constraint (#304)
• Implement impact-based search (#308)
• Refactor to remove various warnings (#311)
• Implement activity-based search (#312)
• Bugs in documentation build (#319)
• Fix broken LNS test (#324)
• Fix deprecation warnings (#326)
• Output Format (#360)
• Update SeaPearl dependencies (#379)
• Many warnings (#380)

Merged pull requests:

• Update documentation (#301) (@jardinetsouffleton)
• Add workflow to remove stale documentation (#302) (@jardinetsouffleton)
• Documentation update (#303) (@jardinetsouffleton)
• Add Reinforcement Learning documentation (#305) (@jardinetsouffleton)
• Update docs for SeaPearl internals (#306) (@jardinetsouffleton)
• Fix broken N-Queens generator (#310) (@jardinetsouffleton)
• Add badges to README (#313) (@jardinetsouffleton)
• Increase test coverage for instance generation (#314) (@jardinetsouffleton)
• Add test for eternity2 datagen (#315) (@jardinetsouffleton)
• Add RL tests (#316) (@jardinetsouffleton)
• Remove MOI-wrapper from main branch (#317) (@jardinetsouffleton)
• Change function call to avoid deprecation warning (#318) (@jardinetsouffleton)
• Paper in prep (#320) (@jardinetsouffleton)
• Fix broken doc sections (#321) (@jardinetsouffleton)
• Activity Based Value Selection Heuristic (#322) (@3rdCore)
• Fix/improve test setup (#325) (@jardinetsouffleton)
• 1st constraint (#327) (@navaxel)
• Addition constraint (#328) (@navaxel)
• Addition constraint (#329) (@navaxel)
• Fix/fix doc build (#330) (@navaxel)
• sumToZero correction + arithmetic constraint (#331) (@navaxel)
• Distance constraint (#332) (@navaxel)
• init parser (#334) (@navaxel)
• Parser (#335) (@navaxel)
• Parser2 (#336) (@navaxel)
• add group parsing (#337) (@navaxel)
• add constant constraint to intension parsing (#338) (@navaxel)
• first parsing for extension support constraint (#339) (@navaxel)
• add sum constraint and sum test (#340) (@navaxel)
• Parsing sum (#341) (@Max9294D)
• Parsing sum (#342) (@Max9294D)
• Fix variable parsing (#343) (@jardinetsouffleton)
• Extension parsing (#344) (@navaxel)
• Extension parsing (#345) (@navaxel)
• Variable tests (#346) (@jardinetsouffleton)
• Simple variable (#347) (@navaxel)
• Parsing sum (#348) (@Max9294D)
• Extension parsing (#350) (@navaxel)
• add group parsing for allDifferent constraint (#351) (@navaxel)
• correction about division constraint and variables with 0 in their do… (#352) (@navaxel)
• Parsing tests/all different (#353) (@jardinetsouffleton)
• Add tests for extension parsing (#354) (@jardinetsouffleton)
• N values constraint (#355) (@navaxel)
• N values constraint (#356) (@navaxel)
• sum parsing correction and tests (#357) (@navaxel)
• variable parsing correction (#358) (@navaxel)
• maximum constraint test (#359) (@navaxel)
• test all parsing constraint, variable and objective (#361) (@navaxel)
• Add Element1dVar constraint and Element1dVar Test. (#362) (@Max9294D)
• minimum constraint + min/max objective (#363) (@navaxel)
• Element (#364) (@Max9294D)
• output function for XCSP3 competition (#365) (@navaxel)
• Input xcsp2 (#366) (@Max9294D)
• Outputv2 (#367) (@navaxel)
• merge ouput and input for XCSP (#368) (@navaxel)
• add revise to argparse + divBounds correction (#369) (@navaxel)
• conversion error fixed : AbstractIntVar (#370) (@navaxel)
• Correction of the get_index(IntVar) error for sum (#371) (@Max9294D)
• Extension parsing error (#372) (@navaxel)
• correction updateNegativeTable (#373) (@navaxel)
• attribute displayXCSP3 correction for model (#375) (@navaxel)
• Error percentage group (#376) (@Max9294D)
• Upgrade to julia 1.8 (#378) (@jardinetsouffleton)
• Fix remove non core dependencies (#381) (@jardinetsouffleton)
• accelerate argparse settings (#382) (@navaxel)
• Correction error group (#383) (@Max9294D)
• Fixes for julia 1.9 (#384) (@jardinetsouffleton)
• group parsing correction + new tests (#385) (@navaxel)
• Correct bug parsing variables in group (#386) (@Max9294D)
• Extension parsing issue (#387) (@navaxel)
• short table constraint correction (#388) (@navaxel)
• change domain.min.value for minimum (same for max) (#389) (@navaxel)
• correct bug domain.min with minimum function (#390) (@Max9294D)
• divBounds correction (#391) (@navaxel)
• correction compactNegativeTable and compactShortTable (#392) (@navaxel)
• correction divBounds min > max (#393) (@navaxel)
• Div bounds correction (#394) (@navaxel)
• XCSP3 output correction for objective to maximize (#395) (@navaxel)
• Multiple strategies (#396) (@Max9294D)
• new type of variable 'as' (#397) (@navaxel)
• addVariable issue correction (#398) (@navaxel)
• group parsing correction for '%i' with i > 10 (#399) (@navaxel)
• stack overflow on extension parsing (#400) (@navaxel)
• group parsing issue for sum constraint with %... solved (#402) (@navaxel)
• save performance in csv file (#403) (@navaxel)

SeaPearl v0.4.3

Diff since v0.4.2

Closed issues:

• Update SeaPearl version (#290)
• Correct errors in console output (#292)

Merged pull requests:

• Fix minor spelling mistakes (#295) (@jardinetsouffleton)
• Fix error in computation of domain cardinality (#297) (@jardinetsouffleton)
• Dead code cleanup (#298) (@jardinetsouffleton)
• Small cleanup (#299) (@jardinetsouffleton)

SeaPearl v0.4.2

Diff since v0.4.1

Closed issues:

• Push latest SeaPearl version to package registry (#275)
• Remove duplicate test pipelines in PRs (#277)
• Identify untested portions of the codebase (#279)
• Replace deprecated function ignore(f) (#281)
• Replace various deprecated functions (#282)

Merged pull requests:

• added adhocInfo on problem generation (#259) (@3rdCore)
• Adding a code of conduct (#276) (@jardinetsouffleton)
• Tentative change to avoid duplicating pipeline run (#280) (@jardinetsouffleton)
• Replaced deprecated Zygote.ignore by ChainRulesCore.ignore (#287) (@jardinetsouffleton)
• Reduce dependencies (#289) (@jardinetsouffleton)

SeaPearl v0.4.1

Diff since v0.4.0

Closed issues:

• Tackle the "stochastic" issue while training: taking the difficulty of an episode into account. (#23)
• Explore the idea of having two (or more) agents to solve a problem (#30)
• Make it possible to give rewards later (not directly after an action is taken) (#32)
• Try to give some metrics as input of the RL agent (#34)
• Make the variable heuristic an RL agent learned heuristic as well (#35)
• Add other type of search strategy (#38)
• Support Max sense for @objective (#42)
• Make JuMP GraphColoring tests deterministic (#43)
• Representable variables (#72)
• TstptwReward weird behaviour with numberOfDecisions (#96)
• Set up documentation (#102)
• Testset for CPreward2 (#190)
• [CP] No easy way to generate a multiple of a variable, y = ax (#196)
• [CP] No easy way to generate an offsetted variable, y = x + c (#197)
• [CP] No easy way to generate the opposite of a variable, y = -x (#198)
• [CP][Boolean Operator] Implement truth-functional operator of logical conjunction : ∧ (#200)
• Remove dead code, useless/test comments and empty files (#201)
• TSPTW problem refactoring (#211)
• DefaultStateRepresentation improvement (#212)
• Add a random value selection heuristic. (#213)
• Generic reward encouraging smart exploration of the tree. (#216)
• Refacto of the Graph Convolution (#225)
• Implementation of the heterogeneous graph (#227)
• Adapt New heterogeneous Graph convolution to FullFeaturedCPNN and VariableOutputCPNN (#230)

Merged pull requests:

• Feature/disjonctive detectable precedence (#156) (@kimriouxparadis)
• Variant of CPReward (#189) (@tomsander1998)
• fix CPReward2 constructor and dependencies (#191) (@3rdCore)
• fix type in feature_length (#192) (@marco-novaes98)
• minor modification in sumlessthan.jl (#193) (@marco-novaes98)
• Add variablesArray for NotEqualConstant (#194) (@marco-novaes98)
• Added features for experiment reproductibility and many other improvement : (#203) (@3rdCore)
• Add new search strategy: Large Neighborhood Search (LNS) (#204) (@marco-novaes98)
• Make type of earliestStartingTime more abstract (#206) (@marco-novaes98)
• Add summary of the performance test (#207) (@marco-novaes98)
• Override the - operator to easily define constraints of the form y= -x. (#208) (@gostreap)
• Tackling issues #196 and #200 (#209) (@louis-gautier)
• Add BinaryXor and isBinaryXor constraint (#210) (@gostreap)
• Optimization of the CP solver (#214) (@marco-novaes98)
• Adds chosenFeatures for a more expressive DefaultStateRepresentation. (#215) (@gostreap)
• RB generator (#217) (@gostreap)
• Add RandomHeuristic for value (#218) (@gostreap)
• Add RandomHeuristic for value (#219) (@gostreap)
• RB generator (#220) (@gostreap)
• Adds chosenFeatures for a more expressive DefaultStateRepresentation. (#221) (@gostreap)
• Add SolutionFound to BasicMetrics (#222) (@gostreap)
• Enable imitation learning (#223) (@ziadelassal)
• Added instance generator for KEP (#224) (@marco-novaes98)
• Creating a general reward encouraging a smart exploration of the tree (#226) (@louis-gautier)
• Small improvement in the way the helpSolution is retrieved in SupervisedLearnedHeuristic (#228) (@gostreap)
• Heterogeneous graph and new associated RL pipeline. (#229) (@gostreap)
• Maximum Independent Set Generator (#234) (@gostreap)
• Heterogeneous Graph Transformer (#235) (@louis-gautier)
• Correction of inconsistencies on GeneralReward (#237) (@louis-gautier)
• Max pooling for GraphConv (#238) (@3rdCore)
• New explorers and tripartite graph plot utils (#239) (@louis-gautier)
• Add erdos-renyi and barabasi-albert graph generator (#240) (@gostreap)
• Add a Max-Cut problem generator (#241) (@gostreap)
• Specific state representations for graph coloring and MIS (#242) (@louis-gautier)
• Lots of changed (GPU support, max constraint, dfswb ...) (#244) (@3rdCore)
• Added documentation automated deployment (#246) (@jardinetsouffleton)
• Added codecov to CI (#247) (@jardinetsouffleton)
• Draft: slight code cleanup: harmonized variable names and formatting (#252) (@jardinetsouffleton)
• Changed variable name to fix bug (#254) (@jardinetsouffleton)
• Revert "Draft: slight code cleanup: harmonized variable names and formatting" (#257) (@jardinetsouffleton)
• @JuliaRegistrator register (#266) (@jardinetsouffleton)
• Fixes for automated merge of package (#268) (@jardinetsouffleton)
• Fix/resolving compat issues (#270) (@jardinetsouffleton)
• Resolving compat format (#271) (@jardinetsouffleton)
• Resolving compat format (#272) (@jardinetsouffleton)
• setting julia version to 1.6-1.7 (#273) (@jardinetsouffleton)
• Removing dependencies: Revise, Statistics (#274) (@jardinetsouffleton)

SeaPearl v0.4.0

Diff since v0.3.1

Merged pull requests:

• AllDifferent optimization (#174) (@PierreTsr)
• Timeout feature on evaluation (#185) (@3rdCore)
• Replacing GeometricFlux.jl to boost performances (#186) (@PierreTsr)
• Fixing major leak between training and evaluation data (#187) (@PierreTsr)
• Update README.md (#188) (@pitmonticone)

SeaPearl v0.3.1

Diff since v0.3.0

Merged pull requests:

• Update SeaPearl for SeaPearlZoo, with new stat and new default reward : CPReward (#184) (@tomsander1998)

SeaPearl v0.3.0

Diff since v0.2.0

Closed issues:

• DP model vs CP model (#25)
• Change the way evaluation of a learned heursitic is made (#37)
• Add the all different constraint (#49)
• CPModification not correctly updated in presence of views (#55)
• Add a LatinSquares generator (#62)
• Make Lexicographic the default value of a BasicHeuristic (#63)
• Adding common generic value ordering heuristics (#64)
• Unpractical type casting for Vector Constraints (#118)
• Bug in the TSPTW test (#122)
• prunedDomains update check (#128)
• metricsFun can not handle more than 1 classic heuristic (#134)
• Possible TableCT optimisation (#137)
• Current base NN dense layer doesn't use any activation functions.... (#155)

Merged pull requests:

• Feature/alldifferent (#115) (@PierreTsr)
• CompatHelper: bump compat for "Distributions" to "0.25" (#116) (@github-actions[bot])
• Fix for Absolute.jl (#117) (@PierreTsr)
• Table constraint: compact table (#119) (@PierreTsr)
• Fix/vector_casting (#120) (@PierreTsr)
• SeaPearl cleanup and bug fix for RL value selection (#121) (@3rdCore)
• updated README.md (#123) (@3rdCore)
• fix: SetDiffSingleton propagation (#129) (@PierreTsr)
• a prettier SeaPearl (#130) (@PierreTsr)
• iLDS (#133) (@3rdCore)
• all diff for arrays (#135) (@tomsander1998)
• Compact Table optimization (#138) (@PierreTsr)
• Feature/disjunctive (#139) (@kimriouxparadis)
• CPModification upgrade (#140) (@PierreTsr)
• Entire refacto of search metrics (#141) (@3rdCore)
• Problem/nqueens (#142) (@tomsander1998)
• Added new plotting features to compare different metrics ( learned, classic, random ... ) (#143) (@3rdCore)
• CompatHelper: add new compat entry for "RollingFunctions" at version "0.6" (#146) (@github-actions[bot])
• Refacto code (#150) (@3rdCore)
• Feature/reward (#152) (@3rdCore)
• Wo graph clean (#154) (@tomsander1998)
• SeaPearl v0.3.0: RL pipeline refactoring and GPU support (#158) (@PierreTsr)
• Fix/dependencies (#159) (@PierreTsr)
• fix CPModification update with View Variables (#160) (@PierreTsr)
• CompatHelper: bump compat for "ProgressBars" to "1" (#161) (@github-actions[bot])
• Restart Based Search and Policy Gradient Method (#162) (@3rdCore)
• Add globalFeatures and test to FullFeaturedCPNN (#163) (@PierreTsr)
• CompatHelper: add new compat entry for "KernelAbstractions" at version "0.6" (#165) (@github-actions[bot])
• upgraded the functor function (#166) (@PierreTsr)
• removed DataFrames deps (#167) (@PierreTsr)
• CompatHelper: add new compat entry for "NNlib" at version "0.7" (#168) (@github-actions[bot])
• CompatHelper: add new compat entry for "CUDAKernels" at version "0.2" (#169) (@github-actions[bot])
• Failure based search, a first step towards an intelligent variable selection heuristic (#171) (@3rdCore)
• Removing GPU usage from Test (#172) (@PierreTsr)
• CompatHelper: add new compat entry for "FillArrays" at version "0.12" (#173) (@github-actions[bot])
• Removed rolling-mean computation (#175) (@PierreTsr)
• CompatHelper: bump compat for "CUDAKernels" to "0.3" (#176) (@github-actions[bot])
• CompatHelper: bump compat for "KernelAbstractions" to "0.7" (#177) (@github-actions[bot])
• Fix unneeded docstring + inclusion bug (#178) (@PierreTsr)
• Episode redef (#179) (@3rdCore)
• Bug fix on evaluator testset (#182) (@3rdCore)
• Project.toml update (#183) (@PierreTsr)

SeaPearl v0.2.0

Diff since v0.1.0

Closed issues:

• TSPTW as a great benchmark tool. (#24)
• Graph coloring generator should be improved now (#33)
• Add a tsp generator (even a tsptw if possible) (#48)
• New feature : making it possible to save an agent (#78)
• Cleaning SeaPearlZoo (#101)
• Update ReinforcementLearning & ReinforcementLearningCore (#103)

Merged pull requests:

• CompatHelper: bump compat for "ReinforcementLearningCore" to "0.7" (#99) (@github-actions[bot])
• CompatHelper: bump compat for "ReinforcementLearning" to "0.8" (#100) (@github-actions[bot])
• CompatHelper: bump compat for "ReinforcementLearning" to "0.8" (#106) (@github-actions[bot])
• CompatHelper: bump compat for "ProgressBars" to "1.0" (#108) (@github-actions[bot])
• CompatHelper: bump compat for "Flux" to "0.12" (#109) (@github-actions[bot])
• Update ReinforcementLearningCore.jl 0.6 -> 0.7 & Julia 1.5 -> 1.6 (#110) (@ilancoulon)
• Add arraybuffer_dims function (#112) (@ilancoulon)
• Update README (#113) (@ilancoulon)

First version, used to run the paper's experiments