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Functions
1,420 in github.com/Svalorzen/AI-Toolbox
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Functions
1,420
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Types & classes
304
Method
LBPredictor
src/POMDP/Algorithms/SARSOP.cpp:421
Method
LLRPolicy
src/Factored/Bandit/Policies/LLRPolicy.cpp:7
Method
LP
Row is initialized from 1 since lp_solve reads element from 1 onwards
src/Utils/LP/LpSolveWrapper.cpp:74
Method
LP_impl
src/Utils/LP/LpSolveWrapper.cpp:40
Method
LRPPolicy
src/Bandit/Policies/LRPPolicy.cpp:6
Method
LinearSupport
src/POMDP/Algorithms/LinearSupport.cpp:12
Method
LocalSearch
src/Factored/Bandit/Algorithms/Utils/LocalSearch.cpp:7
Method
MARMaxPolicy
src/Factored/Bandit/Policies/MARMaxPolicy.cpp:7
Method
MAUCEPolicy
src/Factored/Bandit/Policies/MAUCEPolicy.cpp:8
Method
MCTS
include/AIToolbox/MDP/Algorithms/MCTS.hpp:179
Method
MaxPlus
src/Factored/Bandit/Algorithms/Utils/MaxPlus.cpp:7
Method
MaximumLikelihoodModel
include/AIToolbox/MDP/MaximumLikelihoodModel.hpp:263
Method
MiningBandit
src/Factored/Bandit/Environments/MiningProblem.cpp:20
Method
Model
include/AIToolbox/Factored/Bandit/Model.hpp:83
Method
Model
include/AIToolbox/POMDP/Model.hpp:274
Method
Model
include/AIToolbox/MDP/Model.hpp:349
Method
Model
include/AIToolbox/Bandit/Model.hpp:87
Method
OffPolicyBase
src/MDP/Algorithms/Utils/OffPolicyTemplate.cpp:6
Method
OffPolicyControl
include/AIToolbox/MDP/Algorithms/Utils/OffPolicyTemplate.hpp:401
Method
OffPolicyEvaluation
include/AIToolbox/MDP/Algorithms/Utils/OffPolicyTemplate.hpp:393
Method
OldMDPModel
test/MDP/Utils/OldMDPModel.hpp:299
Method
OldPOMDPModel
test/POMDP/Utils/OldPOMDPModel.hpp:225
Method
PBVI
src/POMDP/Algorithms/PBVI.cpp:6
Method
PERSEUS
src/POMDP/Algorithms/PERSEUS.cpp:6
Method
PGAAPPPolicy
src/MDP/Policies/PGAAPPPolicy.cpp:7
Method
POMCP
include/AIToolbox/POMDP/Algorithms/POMCP.hpp:289
Function
POMDPVentryLessOperator
src/Python/POMDP/Types.cpp:8
Method
PairFromPython
src/Python/Utils.hpp:98
Method
PairToPython
src/Python/Utils.hpp:45
Method
PartialFactorsEnumerator
src/Factored/Utils/Core.cpp:328
Method
PartialIndexEnumerator
src/Factored/Utils/Core.cpp:419
Method
Policy
src/POMDP/Policies/Policy.cpp:6
Method
PolicyEvaluation
include/AIToolbox/MDP/Algorithms/Utils/PolicyEvaluation.hpp:134
Method
PolicyInterface
include/AIToolbox/PolicyInterface.hpp:88
Method
PolicyWrapper
src/MDP/Policies/PolicyWrapper.cpp:9
Method
PrioritizedSweeping
include/AIToolbox/MDP/Algorithms/PrioritizedSweeping.hpp:173
Method
Projecter
include/AIToolbox/POMDP/Algorithms/Utils/Projecter.hpp:70
Method
Pruner
* @brief Basic constructor. * * @param s The number of dimensions of the simplex to operate on. */
include/AIToolbox/Utils/Prune.hpp:187
Method
QGreedyPolicy
src/Bandit/Policies/QGreedyPolicy.cpp:6
Method
QGreedyPolicy
include/AIToolbox/Factored/MDP/Policies/QGreedyPolicy.hpp:95
Method
QGreedyPolicy
include/AIToolbox/Factored/Bandit/Policies/QGreedyPolicy.hpp:87
Method
QGreedyPolicyWrapper
include/AIToolbox/Bandit/Policies/Utils/QGreedyPolicyWrapper.hpp:80
Method
QL
* @brief Basic constructor. * * @param s The size of the state space. * @param a The size of the action space.
include/AIToolbox/MDP/Algorithms/QL.hpp:31
Method
QLEvaluation
* @brief Basic constructor. * * @param target Target policy. * @param discount Discount for the problem.
include/AIToolbox/MDP/Algorithms/QL.hpp:96
Method
QLearning
include/AIToolbox/MDP/Algorithms/QLearning.hpp:187
Method
QMDP
src/POMDP/Algorithms/QMDP.cpp:4
Method
QPolicyInterface
src/MDP/Policies/QPolicyInterface.cpp:4
Method
QSoftmaxPolicy
src/MDP/Policies/QSoftmaxPolicy.cpp:6
Method
QSoftmaxPolicy
src/Bandit/Policies/QSoftmaxPolicy.cpp:8
Method
QSoftmaxPolicyWrapper
include/AIToolbox/Bandit/Policies/Utils/QSoftmaxPolicyWrapper.hpp:91
Method
RLearning
src/MDP/Algorithms/RLearning.cpp:6
Method
RLearning
include/AIToolbox/MDP/Algorithms/RLearning.hpp:200
Method
RTBSS
include/AIToolbox/POMDP/Algorithms/RTBSS.hpp:108
Method
RandomPolicy
src/Factored/Bandit/Policies/RandomPolicy.cpp:6
Method
RandomPolicy
src/Bandit/Policies/RandomPolicy.cpp:4
Method
RetraceL
* @brief Basic constructor. * * @param behaviour Behaviour policy * @param discount Discount for the problem.
include/AIToolbox/MDP/Algorithms/RetraceL.hpp:26
Method
RetraceLEvaluation
* @brief Basic constructor. * * @param target Target policy. * @param behaviour Behaviour policy *
include/AIToolbox/MDP/Algorithms/RetraceL.hpp:93
Method
ReusingIterativeLocalSearch
src/Factored/Bandit/Algorithms/Utils/ReusingIterativeLocalSearch.cpp:7
Method
Roulette
test/MDP/DoubleQLearningTests.cpp:20
Method
SARSA
src/MDP/Algorithms/SARSA.cpp:4
Method
SARSA
include/AIToolbox/MDP/Algorithms/SARSA.hpp:184
Method
SARSAL
src/MDP/Algorithms/SARSAL.cpp:4
Method
SARSAL
include/AIToolbox/MDP/Algorithms/SARSAL.hpp:265
Method
SARSOP
src/POMDP/Algorithms/SARSOP.cpp:4
Method
Seeder
src/Seeder.cpp:9
Function
Settings
( **kwargs )
.ycm_extra_conf.py:1
Method
SingleActionPolicy
src/Factored/Bandit/Policies/SingleActionPolicy.cpp:6
Method
SparseCooperativeQLearning
src/Factored/MDP/Algorithms/SparseCooperativeQLearning.cpp:18
Method
SparseExperience
src/MDP/SparseExperience.cpp:4
Method
SparseMaximumLikelihoodModel
include/AIToolbox/MDP/SparseMaximumLikelihoodModel.hpp:273
Method
SparseModel
include/AIToolbox/POMDP/SparseModel.hpp:295
Method
SparseModel
include/AIToolbox/MDP/SparseModel.hpp:380
Method
State
src/MDP/Environments/Utils/GridWorld.cpp:8
Method
Statistics
src/Tools/Statistics.cpp:8
Method
StorageMatrix2D
src/Utils/StorageEigen.cpp:43
Method
StorageVector
src/Utils/StorageEigen.cpp:6
Method
SubsetEnumerator
* @brief Default constructor. * * @param elementsN The number of elements that the subset should have (<= limit);
include/AIToolbox/Utils/Combinatorics.hpp:71
Method
SuccessiveRejectsPolicy
src/Bandit/Policies/SuccessiveRejectsPolicy.cpp:4
Method
T3CPolicy
src/Bandit/Policies/T3CPolicy.cpp:6
Method
ThompsonModel
include/AIToolbox/MDP/ThompsonModel.hpp:236
Method
ThompsonSamplingPolicy
src/Factored/Bandit/Policies/ThompsonSamplingPolicy.cpp:49
Method
ThompsonSamplingPolicy
src/Bandit/Policies/ThompsonSamplingPolicy.cpp:6
Method
TigerAntelope
src/Factored/MDP/Environments/TigerAntelope.cpp:6
Method
TopTwoThompsonSamplingPolicy
src/Bandit/Policies/TopTwoThompsonSamplingPolicy.cpp:6
Method
TreeBackupL
* @brief Basic constructor. * * @param s The size of the state space. * @param a The size of the action space.
include/AIToolbox/MDP/Algorithms/TreeBackupL.hpp:27
Method
TreeBackupLEvaluation
* @brief Basic constructor. * * @param target Target policy. * @param discount Discount for the problem.
include/AIToolbox/MDP/Algorithms/TreeBackupL.hpp:92
Method
Trie
src/Factored/Utils/Trie.cpp:140
Method
TupleFromPython
src/Python/Utils.hpp:58
Method
TupleToPython
src/Python/Utils.hpp:14
Method
Vector2DFromPython
src/Python/Utils.hpp:161
Method
Vector3DFromPython
src/Python/Utils.hpp:197
Method
VectorFromPython
src/Python/Utils.hpp:131
Method
VoseAliasSampler
src/Utils/Probability.cpp:67
Method
Witness
src/POMDP/Algorithms/Witness.cpp:4
Method
WitnessLP
src/Utils/Polytope.cpp:321
Method
WoLFPolicy
src/MDP/Policies/WoLFPolicy.cpp:6
Method
addDefaultEntry
include/AIToolbox/POMDP/Algorithms/Witness.hpp:240
Method
addToQueue
include/AIToolbox/Factored/MDP/Algorithms/CooperativePrioritizedSweeping.hpp:259
Method
addVariations
include/AIToolbox/POMDP/Algorithms/Witness.hpp:252
Method
allocateActionNodes
include/AIToolbox/MDP/Algorithms/MCTS.hpp:329
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