Class sdm::MMDPInterface

Class List > sdm > MMDPInterface

The class for Discrete Markov Decision Processes.

• #include <mmdp_interface.hpp>

Inherits the following classes: sdm::MDPInterface

Inherited by the following classes: sdm::MMDP, sdm::MPOMDPInterface, sdm::SerialMMDPInterface

Public Functions

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.

Public Functions Documentation

function getActionSpace [1/2]

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

Parameters:

• agent_id the identifier of the agent
• t the timestep

Returns:

the action space

function getActionSpace [2/2]

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

Parameters:

• t the timestep

Returns:

the action space

Implements sdm::MDPInterface::getActionSpace

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