Class sdm::PrivateHierarchicalOccupancyMDP
Class List > sdm > PrivateHierarchicalOccupancyMDP
#include <private_hierarchical_occupancy_mdp.hpp>
Inherits the following classes: sdm::BaseOccupancyMDP
Inherited by the following classes: sdm::PrivateHierarchicalOccupancyMDPWithHistory
Public Attributes inherited from sdm::BaseOccupancyMDP
Type | Name |
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std::shared_ptr< HistoryInterface > | current_history_ |
std::shared_ptr< HistoryInterface > | initial_history_ Initial and current histories. |
Public Attributes inherited from sdm::BaseBeliefMDP
Type | Name |
---|---|
int | batch_size_ |
std::shared_ptr< State > | current_state_ The current state (used in RL). |
std::shared_ptr< Graph< std::shared_ptr< State >, Pair< std::shared_ptr< Action >, std::shared_ptr< Observation > > > > | mdp_graph_ the MDP __Graph (graph of state transition) |
std::shared_ptr< Graph< double, Pair< std::shared_ptr< State >, std::shared_ptr< Action > > > > | reward_graph_ |
RecursiveMap< TBelief, std::shared_ptr< State > > | state_space_ A pointer on the bag containing all states. |
int | step_ The current timestep (used in RL). |
bool | store_actions_ = = true |
bool | store_states_ = = true Hyperparameters. |
RecursiveMap< std::shared_ptr< State >, std::shared_ptr< Action >, std::shared_ptr< Observation >, double > | transition_probability _The probability transition. (i.e. p(o |
Public Static Attributes inherited from sdm::BaseOccupancyMDP
Type | Name |
---|---|
unsigned long | MEAN_SIZE_STATE |
number | PASSAGE_IN_NEXT_STATE |
double | TIME_IN_APPLY_DR |
double | TIME_IN_COMPRESS |
double | TIME_IN_EXP_NEXT |
double | TIME_IN_GET_ACTION |
double | TIME_IN_GET_REWARD |
double | TIME_IN_NEXT_OSTATE |
double | TIME_IN_NEXT_STATE |
double | TIME_IN_STEP |
double | TIME_IN_UNDER_STEP |
Public Functions
Type | Name |
---|---|
PrivateHierarchicalOccupancyMDP () | |
PrivateHierarchicalOccupancyMDP (const std::shared_ptr< MPOMDPInterface > & dpomdp, number memory=-1, bool compression=true, bool store_states=true, bool store_actions=true, int batch_size=0) | |
virtual std::shared_ptr< Action > | applyDecisionRule (const std::shared_ptr< OccupancyStateInterface > & ostate, const std::shared_ptr< JointHistoryInterface > & joint_history, const std::shared_ptr< Action > & decision_rule, number t) const |
virtual std::shared_ptr< Space > | computeActionSpaceAt (const std::shared_ptr< State > & occupancy_state, number t=0) |
virtual std::shared_ptr< Action > | computeRandomAction (const std::shared_ptr< OccupancyStateInterface > & ostate, number t) |
std::shared_ptr< State > | getJointHierarchicalLabels (const std::shared_ptr< State > & joint_labels, const std::shared_ptr< State > & ostate) const |
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool > | step (std::shared_ptr< Action > action) Do a step on the environment. |
Public Functions inherited from sdm::BaseOccupancyMDP
Type | Name |
---|---|
BaseOccupancyMDP () | |
BaseOccupancyMDP (const std::shared_ptr< MPOMDPInterface > & dpomdp, number memory=-1, bool compression=true, bool store_states=true, bool store_actions=true, int batch_size=0) | |
virtual std::shared_ptr< Action > | applyDecisionRule (const std::shared_ptr< OccupancyStateInterface > & ostate, const std::shared_ptr< JointHistoryInterface > & joint_history, const std::shared_ptr< Action > & decision_rule, number t) const |
virtual bool | checkCompatibility (const std::shared_ptr< Observation > & joint_observation, const std::shared_ptr< Observation > & observation) |
virtual std::shared_ptr< Action > | computeRandomAction (const std::shared_ptr< OccupancyStateInterface > & ostate, number t) |
virtual double | do_excess (double incumbent, double lb_value, double ub_value, double cost_so_far, double error, number t) Compute the excess of the HSVI paper. It refers to the termination condition. |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< State > & belief, number t=0) Get the action space at a specific belief and timestep. |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< Observation > & observation, number t=0) Get the action space. |
virtual std::shared_ptr< Space > | getObservationSpaceAt (const std::shared_ptr< State > &, const std::shared_ptr< Action > &, number t) Get the observation space of the central planner. |
virtual std::shared_ptr< Action > | getRandomAction (const std::shared_ptr< Observation > & observation, number t) Get random action. |
virtual double | getReward (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, number t=0) Get the expected reward of executing a specific action in a specific belief at timestep t. |
double | getRewardBelief (const std::shared_ptr< BeliefInterface > & state, const std::shared_ptr< Action > & action, number t) |
virtual std::shared_ptr< BeliefMDP > | getUnderlyingBeliefMDP () const Get the address of the underlying BeliefMDP. |
virtual std::shared_ptr< MPOMDPInterface > | getUnderlyingMPOMDP () const Get the address of the underlying MPOMDP . |
void | initialize (number memory) |
virtual std::shared_ptr< State > | nextOccupancyState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & decision_rule, const std::shared_ptr< Observation > & observation, number t=0) Get the next occupancy state. |
virtual std::shared_ptr< Observation > | reset () Reset the environment and return initial observation. |
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool > | step (std::shared_ptr< Action > action) Do a step on the environment. |
~BaseOccupancyMDP () |
Public Functions inherited from sdm::BaseBeliefMDP
Type | Name |
---|---|
BaseBeliefMDP () | |
BaseBeliefMDP (const std::shared_ptr< POMDPInterface > & pomdp, int batch_size=0) | |
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeExactNextState (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual std::shared_ptr< State > | computeNextState (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual Pair< std::shared_ptr< State >, double > | computeNextStateAndProbability (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) Compute the state transition in order to return next state and associated probability. |
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeSampledNextState (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< State > & belief, number t=0) Get the action space at a specific belief and timestep. |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< Observation > & observation, number t) Get the action space. |
virtual double | getExpectedNextValue (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, number t=0) Get the expected next value. |
std::shared_ptr< Graph< std::shared_ptr< State >, Pair< std::shared_ptr< Action >, std::shared_ptr< Observation > > > > | getMDPGraph () Get the graph of. |
virtual Pair< std::shared_ptr< State >, double > | getNextState (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t) |
virtual double | getObservationProbability (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< State > & next_belief, const std::shared_ptr< Observation > & obs, number t=0) const Get the Observation _Probability p(o |
virtual std::shared_ptr< Space > | getObservationSpaceAt (const std::shared_ptr< State > &, const std::shared_ptr< Action > &, number t) |
virtual std::shared_ptr< Action > | getRandomAction (const std::shared_ptr< Observation > & observation, number t) Get random action. |
virtual double | getReward (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, number t=0) Get the expected reward of executing a specific action in a specific belief at timestep t. |
std::vector< std::shared_ptr< State > > | getStoredStates () const |
virtual std::shared_ptr< POMDPInterface > | getUnderlyingPOMDP () const Get the address of the underlying POMDP . |
virtual std::shared_ptr< State > | nextBelief (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual Pair< std::shared_ptr< State >, double > | nextBeliefAndProba (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) Get the next belief. |
virtual std::shared_ptr< State > | nextState (const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, number t=0, const std::shared_ptr< HSVI > & hsvi=nullptr) Select the next belief. |
virtual std::shared_ptr< Observation > | reset () Reset the environment and return initial observation. |
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool > | step (std::shared_ptr< Action > action) Do a step on the environment. |
~BaseBeliefMDP () |
Public Functions inherited from sdm::SolvableByMDP
Type | Name |
---|---|
SolvableByMDP () Default constructor. | |
SolvableByMDP (const std::shared_ptr< MDPInterface > & mdp) Construct a problem solvable by HSVI . | |
virtual double | do_excess (double incumbent, double lb_value, double ub_value, double cost_so_far, double error, number horizon) Compute the excess of the HSVI paper. It refers to the termination condition. |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< State > & state, number t=0) Get the action space at a specific state and timestep. The state dependency is required when the game forbid the usage of a number of actions in this state. It is also used in some reformulated problems where actions are decision rules. The time dependency is required in extensive-form games in which some agents have a different action space. |
virtual double | getDiscount (number t=0) const Get the specific discount factor for the problem at hand. |
virtual double | getExpectedNextValue (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0) Get the expected next value. |
virtual std::shared_ptr< State > | getInitialState () Get the initial state. |
virtual Pair< std::shared_ptr< State >, double > | getNextState (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t) |
virtual std::shared_ptr< Space > | getObservationSpaceAt (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) |
virtual double | getReward (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0) Get the reward of executing a specific action in an specific state at timestep t. The time dependency can be required in non-stationnary problems. |
virtual const std::shared_ptr< MDPInterface > & | getUnderlyingProblem () const Get the well defined underlying problem. Some problems are solvable by DP algorithms even if they are not well defined. Usually, they simply are reformulation of an underlying well defined problem. For instance, the underlying DecPOMDP of the OccupancyMDP or the underlying POMDP of the current BeliefMDP. |
virtual double | getWeightedDiscount (number t) Get the specific weighted discount factor for the problem at hand. |
virtual bool | isSerialized () const Check if the problem is serialized. |
virtual std::shared_ptr< State > | nextState (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0, const std::shared_ptr< HSVI > & hsvi=nullptr) Select the next state. |
virtual Pair< std::shared_ptr< Action >, double > | selectNextAction (const std::shared_ptr< ValueFunction > & lb, const std::shared_ptr< ValueFunction > & ub, const std::shared_ptr< State > & s, number h) Select the next action. |
virtual void | setInitialState (const std::shared_ptr< State > & state) |
Public Functions inherited from sdm::SolvableByHSVI
Type | Name |
---|---|
virtual double | do_excess (double incumbent, double lb_value, double ub_value, double cost_so_far, double error, number t) = 0 Compute the excess of the HSVI paper. It refers to the termination condition. |
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< State > & state, number t) = 0 Get the action space at a specific state and timestep. The state dependency is required when the game forbid the usage of a number of actions in this state. It is also used in some reformulated problems where actions are decision rules. The time dependency is required in extensive-form games in which some agents have a different action space. |
virtual double | getDiscount (number t) const = 0 Get the specific discount factor for the problem at hand. |
virtual double | getExpectedNextValue (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) = 0 Get the expected next value. |
virtual std::shared_ptr< State > | getInitialState () = 0 Get the initial state. |
virtual Pair< std::shared_ptr< State >, double > | getNextState (const std::shared_ptr< ValueFunction > & value_function, const std::shared_ptr< State > & belief, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t) = 0 |
virtual std::shared_ptr< Space > | getObservationSpaceAt (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) = 0 |
virtual double | getReward (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) = 0 Get the reward of executing a specific action in an specific state at timestep t. The time dependency can be required in non-stationnary problems. |
virtual const std::shared_ptr< MDPInterface > & | getUnderlyingProblem () const = 0 Get the well defined underlying problem. Some problems are solvable by DP algorithms even if they are not well defined. Usually, they simply are reformulation of an underlying well defined problem. For instance, the underlying DecPOMDP of the OccupancyMDP or the underlying POMDP of the current BeliefMDP. |
virtual double | getWeightedDiscount (number t) = 0 Get the specific weighted discount factor for the problem at hand. |
virtual bool | isSerialized () const = 0 Check if the problem is serialized. |
virtual std::shared_ptr< State > | nextState (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0, const std::shared_ptr< HSVI > & hsvi=nullptr) = 0 Select the next state. |
virtual Pair< std::shared_ptr< Action >, double > | selectNextAction (const std::shared_ptr< ValueFunction > & lb, const std::shared_ptr< ValueFunction > & ub, const std::shared_ptr< State > & state, number t) = 0 Select the next action. |
virtual void | setInitialState (const std::shared_ptr< State > &) = 0 |
virtual | ~SolvableByHSVI () |
Public Functions inherited from sdm::GymInterface
Type | Name |
---|---|
virtual std::shared_ptr< Space > | getActionSpaceAt (const std::shared_ptr< Observation > & observation, number t) = 0 Get the action space. |
virtual std::shared_ptr< Action > | getRandomAction (const std::shared_ptr< Observation > & observation, number t) = 0 Get random action. |
virtual std::shared_ptr< Observation > | reset () = 0 Reset the environment and return initial observation. |
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool > | step (std::shared_ptr< Action > action) = 0 Do a step on the environment. |
Protected Attributes
Type | Name |
---|---|
std::shared_ptr< Action > | current_action_ |
Protected Attributes inherited from sdm::BaseOccupancyMDP
Type | Name |
---|---|
std::shared_ptr< BeliefMDP > | belief_mdp_ Keep a pointer on the associated belief mdp that is used to compute next beliefs. |
bool | compression_ = = true Hyperparameters. |
Protected Attributes inherited from sdm::SolvableByMDP
Type | Name |
---|---|
std::shared_ptr< State > | initial_state_ The initial state. |
std::shared_ptr< MDPInterface > | underlying_problem_ The underlying well defined problem. |
Protected Functions
Type | Name |
---|---|
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeExactNextState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual Pair< std::shared_ptr< State >, double > | computeNextStateAndProbability (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) Compute the state transition in order to return next state and associated probability. |
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeSampledNextState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
Protected Functions inherited from sdm::BaseOccupancyMDP
Type | Name |
---|---|
virtual std::shared_ptr< Space > | computeActionSpaceAt (const std::shared_ptr< State > & occupancy_state, number t=0) |
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeExactNextState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual std::shared_ptr< State > | computeNextState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual Pair< std::shared_ptr< State >, double > | computeNextStateAndProbability (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) Compute the state transition in order to return next state and associated probability. |
virtual Pair< std::shared_ptr< State >, std::shared_ptr< State > > | computeSampledNextState (const std::shared_ptr< State > & occupancy_state, const std::shared_ptr< Action > & action, const std::shared_ptr< Observation > & observation, number t=0) |
virtual bool | do_compression (number t) const Return true if compression must be done. |
std::shared_ptr< HistoryInterface > | getNextHistory (const std::shared_ptr< Observation > & observation) |
virtual void | update_occupancy_state_proba (const std::shared_ptr< OccupancyStateInterface > & occupancy_state, const std::shared_ptr< JointHistoryInterface > & joint_history, const std::shared_ptr< BeliefInterface > & belief, double probability) |
Protected Functions inherited from sdm::SolvableByMDP
Type | Name |
---|---|
const std::shared_ptr< MDPInterface > & | getUnderlyingMDP () const Get the underlying mdp. |
Public Functions Documentation
function PrivateHierarchicalOccupancyMDP [1/2]
sdm::PrivateHierarchicalOccupancyMDP::PrivateHierarchicalOccupancyMDP ()
function PrivateHierarchicalOccupancyMDP [2/2]
sdm::PrivateHierarchicalOccupancyMDP::PrivateHierarchicalOccupancyMDP (
const std::shared_ptr< MPOMDPInterface > & dpomdp,
number memory=-1,
bool compression=true,
bool store_states=true,
bool store_actions=true,
int batch_size=0
)
function applyDecisionRule
virtual std::shared_ptr< Action > sdm::PrivateHierarchicalOccupancyMDP::applyDecisionRule (
const std::shared_ptr< OccupancyStateInterface > & ostate,
const std::shared_ptr< JointHistoryInterface > & joint_history,
const std::shared_ptr< Action > & decision_rule,
number t
) const
Implements sdm::BaseOccupancyMDP::applyDecisionRule
function computeActionSpaceAt
virtual std::shared_ptr< Space > sdm::PrivateHierarchicalOccupancyMDP::computeActionSpaceAt (
const std::shared_ptr< State > & occupancy_state,
number t=0
)
Implements sdm::BaseOccupancyMDP::computeActionSpaceAt
function computeRandomAction
virtual std::shared_ptr< Action > sdm::PrivateHierarchicalOccupancyMDP::computeRandomAction (
const std::shared_ptr< OccupancyStateInterface > & ostate,
number t
)
Implements sdm::BaseOccupancyMDP::computeRandomAction
function getJointHierarchicalLabels
std::shared_ptr< State > sdm::PrivateHierarchicalOccupancyMDP::getJointHierarchicalLabels (
const std::shared_ptr< State > & joint_labels,
const std::shared_ptr< State > & ostate
) const
function step
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool > sdm::PrivateHierarchicalOccupancyMDP::step (
std::shared_ptr< Action > action
)
Parameters:
action
the action to execute
Returns:
the information produced. Include : next observation, rewards, episode done
Implements sdm::BaseOccupancyMDP::step
Protected Attributes Documentation
variable current_action_
std::shared_ptr<Action> sdm::PrivateHierarchicalOccupancyMDP::current_action_;
Protected Functions Documentation
function computeExactNextState
virtual Pair < std::shared_ptr< State >, std::shared_ptr< State > > sdm::PrivateHierarchicalOccupancyMDP::computeExactNextState (
const std::shared_ptr< State > & occupancy_state,
const std::shared_ptr< Action > & action,
const std::shared_ptr< Observation > & observation,
number t=0
)
Implements sdm::BaseOccupancyMDP::computeExactNextState
function computeNextStateAndProbability
virtual Pair < std::shared_ptr< State >, double > sdm::PrivateHierarchicalOccupancyMDP::computeNextStateAndProbability (
const std::shared_ptr< State > & occupancy_state,
const std::shared_ptr< Action > & action,
const std::shared_ptr< Observation > & observation,
number t=0
)
Parameters:
belief
the beliefaction
the actionobservation
the observationt
the timestep
Returns:
the couple (next state, transition probability in the next state)
This function can be modified in an inherited class to define a belief MDP with a different representation of the belief state. (i.e. BaseOccupancyMDP inherits from BaseBeliefMDP with TBelief = OccupancyState)
Implements sdm::BaseOccupancyMDP::computeNextStateAndProbability
function computeSampledNextState
virtual Pair < std::shared_ptr< State >, std::shared_ptr< State > > sdm::PrivateHierarchicalOccupancyMDP::computeSampledNextState (
const std::shared_ptr< State > & occupancy_state,
const std::shared_ptr< Action > & action,
const std::shared_ptr< Observation > & observation,
number t=0
)
Implements sdm::BaseOccupancyMDP::computeSampledNextState
The documentation for this class was generated from the following file src/sdm/world/private_hierarchical_occupancy_mdp.hpp