Class sdm::MMDP

The class for Discrete Markov Decision Processes.

#include <mmdp.hpp>

Inherits the following classes: sdm::MDP, sdm::MMDPInterface

Inherited by the following classes: sdm::MPOMDP

Public Functions

Type	Name
	MMDP ()
	MMDP (const std::shared_ptr< Space > & state_space, const std::shared_ptr< Space > & action_space, const std::shared_ptr< RewardInterface > & reward, const std::shared_ptr< StateDynamicsInterface > & state_dynamics, const std::shared_ptr< Distribution< std::shared_ptr< State >>> & start_distrib, number horizon=0, double discount=0.99, Criterion criterion=Criterion::REW_MAX)
virtual std::shared_ptr< Space >	getActionSpace (number t=0) const Get ths action space at timestep t.
virtual std::shared_ptr< Space >	getActionSpace (number agent_id, number t) const Get ths action space of agent i at timestep t.
virtual std::string	toStdFormat () Encodes MDP class into a string (standard .posg or .dpomdp or .zsposg format).

Public Functions inherited from sdm::MDP

See sdm::MDP

Type	Name
	MDP ()
	MDP (const std::shared_ptr< Space > & state_space, const std::shared_ptr< Space > & action_space, const std::shared_ptr< RewardInterface > & reward_space, const std::shared_ptr< StateDynamicsInterface > & state_dynamics, const std::shared_ptr< Distribution< std::shared_ptr< State >>> & start_distribution, number horizon=0, double discount=0.99, Criterion criterion=Criterion::REW_MAX)
void	generateFile (std::string) Save problem in file with given format (.xml, .json or .{dpomdp, posg, zsposg}).
virtual std::shared_ptr< Space >	getActionSpace (number t=0) const Get ths action space at timestep t.
virtual std::shared_ptr< Space >	getActionSpaceAt (const std::shared_ptr< Observation > & observation, number t) Get the action space.
virtual double	getDiscount (number t=0) const Get the discount factor at timestep t.
virtual number	getHorizon () const Get the planning horizon.
virtual std::shared_ptr< State >	getInternalState () const
virtual double	getMaxReward (number t=0) const
virtual double	getMinReward (number t=0) const
virtual number	getNumAgents () const Get the number of agents.
virtual std::shared_ptr< Action >	getRandomAction (const std::shared_ptr< Observation > & observation, number t) Get random action.
virtual std::set< std::shared_ptr< State > >	getReachableStates (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0) const Get the reachable next states.
virtual double	getReward (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t=0) const Get the reward of executing action a in state s at timestep t.
virtual std::shared_ptr< RewardInterface >	getRewardSpace () const Get the reward function.
virtual std::shared_ptr< Distribution< std::shared_ptr< State > > >	getStartDistribution () const Get the initial distribution over states.
virtual std::shared_ptr< StateDynamicsInterface >	getStateDynamics () const Get the state dynamics.
virtual std::shared_ptr< Space >	getStateSpace (number t=0) const Get ths state space at timestep t.
virtual double	getTransitionProbability (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, const std::shared_ptr< State > & next_state, number t=0) const Get the Transition Probability object.
virtual std::shared_ptr< Observation >	reset () Reset the environment and return initial observation.
virtual std::shared_ptr< Observation >	sampleNextObservation (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t)
void	setDiscount (double discount) Set the discount factor.
void	setHorizon (number horizon) Set the planning horizon.
virtual void	setInternalState (std::shared_ptr< State >)
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action) Do a step on the environment.
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action, bool increment_timestep)
virtual std::string	toJSON () Encodes MDP class into a string (JSON format).
virtual std::string	toStdFormat () Encodes MDP class into a string (standard .posg or .dpomdp or .zsposg format).
virtual std::string	toXML () Encodes MDP class into a string (XML format).
virtual	~MDP ()

Public Functions inherited from sdm::MDPInterface

See sdm::MDPInterface

Type	Name
virtual std::shared_ptr< Space >	getActionSpace (number t) const = 0 Get ths action space at timestep t.
virtual double	getDiscount (number t) const = 0 Get the discount factor at timestep t.
virtual number	getHorizon () const = 0 Get the number of agents.
virtual std::shared_ptr< State >	getInternalState () const = 0
virtual double	getMaxReward (number t) const = 0
virtual double	getMinReward (number t) const = 0
virtual number	getNumAgents () const = 0 Get the number of agents.
virtual std::set< std::shared_ptr< State > >	getReachableStates (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) const = 0 Get reachable states.
virtual double	getReward (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) const = 0 Get the reward at timestep t when executing an action in a specific state.
virtual std::shared_ptr< Distribution< std::shared_ptr< State > > >	getStartDistribution () const = 0 Get the initial distribution over states.
virtual std::shared_ptr< Space >	getStateSpace (number t) const = 0 Get ths state space at timestep t.
virtual double	getTransitionProbability (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, const std::shared_ptr< State > & next_state, number t) const = 0 _Get the transition probability, i.e. p(s'
virtual void	setInternalState (std::shared_ptr< State > state) = 0
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action) = 0 Do a step on the environment.
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action, bool increment_timestep) = 0

Public Functions inherited from sdm::GymInterface

See 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.

Public Functions inherited from sdm::GymInterface

See 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.

Public Functions inherited from sdm::MMDPInterface

See sdm::MMDPInterface

Type	Name
virtual std::shared_ptr< Space >	getActionSpace (number agent_id, number t) const = 0 Get ths action space of agent i at timestep t.
virtual std::shared_ptr< Space >	getActionSpace (number t) const = 0 Get ths action space at timestep t.

Public Functions inherited from sdm::MDPInterface

See sdm::MDPInterface

Type	Name
virtual std::shared_ptr< Space >	getActionSpace (number t) const = 0 Get ths action space at timestep t.
virtual double	getDiscount (number t) const = 0 Get the discount factor at timestep t.
virtual number	getHorizon () const = 0 Get the number of agents.
virtual std::shared_ptr< State >	getInternalState () const = 0
virtual double	getMaxReward (number t) const = 0
virtual double	getMinReward (number t) const = 0
virtual number	getNumAgents () const = 0 Get the number of agents.
virtual std::set< std::shared_ptr< State > >	getReachableStates (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) const = 0 Get reachable states.
virtual double	getReward (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, number t) const = 0 Get the reward at timestep t when executing an action in a specific state.
virtual std::shared_ptr< Distribution< std::shared_ptr< State > > >	getStartDistribution () const = 0 Get the initial distribution over states.
virtual std::shared_ptr< Space >	getStateSpace (number t) const = 0 Get ths state space at timestep t.
virtual double	getTransitionProbability (const std::shared_ptr< State > & state, const std::shared_ptr< Action > & action, const std::shared_ptr< State > & next_state, number t) const = 0 _Get the transition probability, i.e. p(s'
virtual void	setInternalState (std::shared_ptr< State > state) = 0
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action) = 0 Do a step on the environment.
virtual std::tuple< std::shared_ptr< Observation >, std::vector< double >, bool >	step (std::shared_ptr< Action > action, bool increment_timestep) = 0

Public Functions inherited from sdm::GymInterface

See 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 inherited from sdm::MDP

See sdm::MDP

Type	Name
std::shared_ptr< Space >	action_space_
Criterion	criterion_
int	current_timestep_
double	discount_
number	horizon_
std::shared_ptr< State >	internal_state_
number	num_agents_
std::shared_ptr< RewardInterface >	reward_space_
std::shared_ptr< Distribution< std::shared_ptr< State > > >	start_distribution_
std::shared_ptr< StateDynamicsInterface >	state_dynamics_
std::shared_ptr< Space >	state_space_

Public Functions Documentation

function MMDP [1/2]

sdm::MMDP::MMDP ()

function MMDP [2/2]

sdm::MMDP::MMDP (
    const std::shared_ptr< Space > & state_space,
    const std::shared_ptr< Space > & action_space,
    const std::shared_ptr< RewardInterface > & reward,
    const std::shared_ptr< StateDynamicsInterface > & state_dynamics,
    const std::shared_ptr< Distribution < std::shared_ptr< State >>> & start_distrib,
    number horizon=0,
    double discount=0.99,
    Criterion criterion=Criterion::REW_MAX
)

function getActionSpace [1/2]

virtual std::shared_ptr< Space > sdm::MMDP::getActionSpace (
    number t=0
) const

Parameters:

t the timestep

Returns:

the action space

Implements sdm::MMDPInterface::getActionSpace

function getActionSpace [2/2]

virtual std::shared_ptr< Space > sdm::MMDP::getActionSpace (
    number agent_id,
    number t
) const

Parameters:

agent_id the identifier of the agent
t the timestep

Returns:

the action space

Implements sdm::MMDPInterface::getActionSpace

function toStdFormat

virtual std::string sdm::MMDP::toStdFormat ()

Returns:

the process as XML

Implements sdm::MDP::toStdFormat

The documentation for this class was generated from the following file src/sdm/world/mmdp.hpp