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Functions1,420 in github.com/Svalorzen/AI-Toolbox

↓ 7 callersMethodfactorSize
include/AIToolbox/Factored/Utils/FactorGraph.hpp:431
↓ 7 callersMethodgetA
* @brief This function returns the number of actions of the environment. */
src/Python/MDP/GenerativeModelPython.hpp:44
↓ 7 callersMethodgetDiscount
src/MDP/SparseModel.cpp:55
↓ 7 callersMethodgetExpectedReward
include/AIToolbox/MDP/ThompsonModel.hpp:308
↓ 7 callersMethodgetO
src/POMDP/Policies/Policy.cpp:61
↓ 7 callersMethodgetObservationProbability
include/AIToolbox/POMDP/Model.hpp:340
↓ 7 callersMethodgetPartialSize
src/Factored/Utils/BayesianNetwork.cpp:129
↓ 7 callersMethodgetS
* @brief This function returns the number of states of the environment. */
src/Python/MDP/GenerativeModelPython.hpp:39
↓ 7 callersMethodgetWidth
src/MDP/Environments/Utils/GridWorld.cpp:89
↓ 7 callersMethodisTerminal
include/AIToolbox/MDP/ThompsonModel.hpp:313
↓ 7 callersMethodsetDiscount
src/MDP/Model.cpp:47
↓ 7 callersMethodsetObservationFunction
include/AIToolbox/POMDP/Model.hpp:319
↓ 7 callersMethodsolve
src/Utils/LP/LpSolveWrapper.cpp:126
↓ 7 callersFunctionupdateBeliefPartial
include/AIToolbox/POMDP/Utils.hpp:289
↓ 6 callersMethodaddColumn
src/Utils/LP/LpSolveWrapper.cpp:110
↓ 6 callersMethodbestVariableToRemove
include/AIToolbox/Factored/Utils/FactorGraph.hpp:446
↓ 6 callersFunctionfactorSpace
src/Factored/Utils/Core.cpp:196
↓ 6 callersMethodgetHeight
src/MDP/Environments/Utils/GridWorld.cpp:90
↓ 6 callersMethodgetTolerance
src/POMDP/Algorithms/QMDP.cpp:15
↓ 6 callersMethodgetValue
src/Factored/Utils/FactoredMatrix.cpp:7
↓ 6 callersMethodisValid
src/Factored/Utils/Trie.cpp:71
↓ 6 callersFunctionnChooseK
src/Utils/Combinatorics.cpp:4
↓ 6 callersMethodsampleSR
include/AIToolbox/MDP/ThompsonModel.hpp:296
↓ 6 callersFunctionsequential_sorted_find
include/AIToolbox/Utils/Core.hpp:228
↓ 6 callersMethodsetObjective
src/Utils/LP/LpSolveWrapper.cpp:78
↓ 6 callersMethodsetUnbounded
src/Utils/LP/LpSolveWrapper.cpp:122
↓ 6 callersFunctionwrapDiff
Compute difference between two coordinates, consistent with the wraparound world with size SQUARE_SIZE x SQUARE_SIZE. Parameters ---
examples/MDP/tiger_antelope.py:41
↓ 6 callersFunctionwrapDiff
Returns distance between coordinates. It is consistent with the wraparound world.
examples/MDP/tiger_antelope.cpp:39
↓ 5 callersMethodcbegin
* @brief This function returns a const_iterator to the beginning of this filtered range. */
include/AIToolbox/Utils/IndexMap.hpp:251
↓ 5 callersFunctioncrossSumBestAtBelief
include/AIToolbox/POMDP/Utils.hpp:504
↓ 5 callersFunctiondominates
* @brief This function checks whether an Hyperplane dominates another. * * @param lhs The Hyperplane that should dominate. * @param rhs
include/AIToolbox/Utils/Polytope.hpp:45
↓ 5 callersMethodgetA
src/MDP/Model.cpp:60
↓ 5 callersMethodgetCurrentPhase
src/Bandit/Policies/SuccessiveRejectsPolicy.cpp:75
↓ 5 callersMethodgetExpectedReward
src/MDP/SparseModel.cpp:37
↓ 5 callersMethodgetO
include/AIToolbox/POMDP/SparseModel.hpp:386
↓ 5 callersMethodgetPolicy
src/MDP/Policies/WoLFPolicy.cpp:67
↓ 5 callersMethodgetTransitionProbability
src/MDP/SparseModel.cpp:33
↓ 5 callersFunctionmakeSysAdminBiRing
src/Factored/MDP/Environments/SysAdminRing.cpp:112
↓ 5 callersFunctionmakeSysAdminUniRing
src/Factored/MDP/Environments/SysAdminRing.cpp:9
↓ 5 callersMethodreset
include/AIToolbox/Factored/Utils/FactorGraph.hpp:317
↓ 5 callersFunctionrmWit
src/POMDP/Algorithms/SARSOP.cpp:21
↓ 5 callersMethodsampleSR
src/MDP/Model.cpp:33
↓ 5 callersMethodsetRewardMatrix
src/MDP/Experience.cpp:43
↓ 5 callersMethodsetVisitsTable
src/MDP/Experience.cpp:35
↓ 5 callersMethodstepUpdateQ
src/MDP/Algorithms/QLearning.cpp:11
↓ 5 callersFunctionweakBoundDistance
src/POMDP/Utils.cpp:23
↓ 4 callersMethodbatchUpdateQ
include/AIToolbox/MDP/Algorithms/DynaQ.hpp:157
↓ 4 callersFunctioncheckTag
src/Factored/Utils/Core.cpp:6
↓ 4 callersFunctioncomputeQFunction
include/AIToolbox/MDP/Utils.hpp:106
↓ 4 callersFunctiondecodeState
Convert from state_index to coordinate. Parameters ---------- state: int Index of the state. Returns ------- co
examples/MDP/tiger_antelope.py:182
↓ 4 callersFunctiondecodeState
examples/MDP/tiger_antelope.cpp:122
↓ 4 callersMethodend
include/AIToolbox/Factored/Utils/FactorGraph.hpp:435
↓ 4 callersFunctionfindBestAtSimplexCorner
include/AIToolbox/Utils/Polytope.hpp:95
↓ 4 callersFunctionfindVerticesNaive
include/AIToolbox/Utils/Polytope.hpp:340
↓ 4 callersMethodgetA
test/MDP/MCTSTests.cpp:123
↓ 4 callersMethodgetActionProbability
src/Bandit/Policies/ESRLPolicy.cpp:88
↓ 4 callersMethodgetDiscount
* @brief This function returns the discount of the environment. */
src/Python/MDP/GenerativeModelPython.hpp:49
↓ 4 callersMethodgetExpectedReward
src/MDP/Model.cpp:43
↓ 4 callersMethodgetFactorToSkipId
src/Factored/Utils/Core.cpp:412
↓ 4 callersMethodgetH
src/POMDP/Policies/Policy.cpp:65
↓ 4 callersMethodgetMin
src/Factored/Utils/Trie.cpp:75
↓ 4 callersMethodgetTransitionProbability
src/MDP/Model.cpp:39
↓ 4 callersFunctionmakeA0MatrixLoad
* @brief This function builds the transition matrix for a single load state factor in the SysAdmin problem in case of action 1 (reboot). * *
src/Factored/MDP/Environments/SysAdminUtils.hpp:91
↓ 4 callersFunctionmakeA0MatrixStatus
* @brief This function builds the transition matrix for a single status state factor in the SysAdmin problem in case of action 0 (no-reboot). *
src/Factored/MDP/Environments/SysAdminUtils.hpp:23
↓ 4 callersFunctionmakeA1MatrixLoad
* @brief This function builds the transition matrix for a single load state factor in the SysAdmin problem in case of action 1 (reboot). * *
src/Factored/MDP/Environments/SysAdminUtils.hpp:122
↓ 4 callersFunctionmakeA1MatrixStatus
* @brief This function builds the transition matrix for a single status state factor in the SysAdmin problem in case of action 1 (reboot). *
src/Factored/MDP/Environments/SysAdminUtils.hpp:66
↓ 4 callersFunctionmakeRewardMatrix
* @brief This function builds the reward function which is the same for all agents. * * The parameter can be built using the makeA0MatrixLoa
src/Factored/MDP/Environments/SysAdminUtils.hpp:149
↓ 4 callersMethodsampleSOR
include/AIToolbox/POMDP/Model.hpp:360
↓ 4 callersMethodsampleSR
test/MDP/MCTSTests.cpp:134
↓ 4 callersMethodsetDiscount
src/MDP/SparseModel.cpp:41
↓ 4 callersMethodsetTransitionFunction
test/MDP/Utils/OldMDPModel.hpp:323
↓ 4 callersMethodsize
* @brief This function returns the size of the range covered. */
include/AIToolbox/Utils/Combinatorics.hpp:148
↓ 4 callersMethodstepUpdateQ
src/Factored/MDP/Algorithms/JointActionLearner.cpp:21
↓ 4 callersMethodsubsetsSize
* @brief This function returns the number of subsets enumerated over. */
include/AIToolbox/Utils/Combinatorics.hpp:138
↓ 4 callersFunctionupdateBelief
include/AIToolbox/POMDP/Utils.hpp:235
↓ 3 callersFunctionAPSP
include/AIToolbox/Factored/Utils/APSP.hpp:28
↓ 3 callersMethodExperience
src/MDP/Experience.cpp:6
↓ 3 callersMethodIncrementalPruning
src/POMDP/Algorithms/IncrementalPruning.cpp:4
↓ 3 callersMethodValueIteration
src/MDP/Algorithms/ValueIteration.cpp:4
↓ 3 callersFunctionaddMax
src/POMDP/Algorithms/SARSOP.cpp:30
↓ 3 callersMethodaddOptimalRow
src/Utils/Polytope.cpp:381
↓ 3 callersFunctionaddWit
src/POMDP/Algorithms/SARSOP.cpp:7
↓ 3 callersMethodallocate
src/Utils/Polytope.cpp:417
↓ 3 callersFunctionapplyFilters
* @brief This function finds all common elements held by the input filters. * * This function assumes that there is at least one fil
src/Factored/Utils/Trie.cpp:99
↓ 3 callersFunctionbackProject
src/Factored/Utils/BayesianNetwork.cpp:169
↓ 3 callersFunctionbeliefExpectedReward
include/AIToolbox/POMDP/Utils.hpp:471
↓ 3 callersFunctionbestConservativeAction
include/AIToolbox/POMDP/Utils.hpp:609
↓ 3 callersMethodcanRecommendAction
src/Factored/Bandit/Policies/MARMaxPolicy.cpp:59
↓ 3 callersMethodcend
* @brief This function returns a const_iterator to the end of this filtered range. */
include/AIToolbox/Utils/IndexMap.hpp:266
↓ 3 callersFunctioncomputeValue
src/Factored/Bandit/Algorithms/Utils/UCVE.cpp:76
↓ 3 callersFunctioncopyDumb3D
include/AIToolbox/Utils/Core.hpp:350
↓ 3 callersFunctioncrossSumF
* @brief This function cross-sums the input lists. * * For each element of tag/value in both inputs, a new value will be * returned wit
src/Factored/Bandit/Algorithms/Utils/MultiObjectiveVariableElimination.cpp:56
↓ 3 callersMethodgetA
src/MDP/Algorithms/SARSA.cpp:30
↓ 3 callersMethodgetA
src/Bandit/Experience.cpp:32
↓ 3 callersMethodgetA
examples/MDP/tiger_antelope.cpp:134
↓ 3 callersMethodgetObservationProbability
include/AIToolbox/POMDP/SparseModel.hpp:376
↓ 3 callersMethodgetPolicy
include/AIToolbox/MDP/Policies/BanditPolicyAdaptor.hpp:90
↓ 3 callersMethodgetS
test/MDP/MCTSTests.cpp:120
↓ 3 callersMethodgetS
src/MDP/Algorithms/SARSA.cpp:29
↓ 3 callersFunctionmakeChengD35
* @brief This function returns a POMDP model of the chengD35 problem. */
include/AIToolbox/POMDP/Environments/ChengD35.hpp:11
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