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Simulation engine for reinforcement learning agents
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cuberl::rl::algos::dp::ValueIteration< EnvType > Class Template Reference

ValueIteration class. More...

#include <value_iteration.h>

Inheritance diagram for cuberl::rl::algos::dp::ValueIteration< EnvType >:
Collaboration diagram for cuberl::rl::algos::dp::ValueIteration< EnvType >:

Public Types

typedef DPSolverBase< EnvType >::env_type env_type
 env_t
 
- Public Types inherited from cuberl::rl::algos::dp::DPSolverBase< EnvType >
typedef RLSolverBase< EnvType >::env_type env_type
 The environment type the solver is using.
 
- Public Types inherited from cuberl::rl::algos::RLSolverBase< EnvType >
typedef EnvType env_type
 

Public Member Functions

 ValueIteration (const ValueIterationConfig config)
 ValueIteration.
 
virtual void actions_before_training_begins (env_type &env) override
 actions_before_training_begins. Execute any actions the algorithm needs before starting the iterations
 
virtual void actions_after_training_ends (env_type &) override
 actions_after_training_ends. Actions to execute after the training iterations have finisehd
 
virtual void actions_before_episode_begins (env_type &, uint_t) override
 actions_before_training_episode
 
virtual void actions_after_episode_ends (env_type &, uint_t, const EpisodeInfo &) override
 actions_after_training_episode
 
virtual EpisodeInfo on_training_episode (env_type &env, uint_t episode_idx) override
 on_episode Do one on_episode of the algorithm
 
void save (const std::string &filename) const
 
cuberl::rl::policies::MaxTabularPolicy build_policy (const env_type &env) const
 
- Public Member Functions inherited from cuberl::rl::algos::dp::DPSolverBase< EnvType >
virtual ~DPSolverBase ()=default
 Destructor.
 
- Public Member Functions inherited from cuberl::rl::algos::RLSolverBase< EnvType >
virtual ~RLSolverBase ()=default
 Destructor.
 

Additional Inherited Members

- Protected Member Functions inherited from cuberl::rl::algos::dp::DPSolverBase< EnvType >
 DPSolverBase ()=default
 DPAlgoBase.
 
- Protected Member Functions inherited from cuberl::rl::algos::RLSolverBase< EnvType >
 RLSolverBase ()=default
 Constructor.
 

Detailed Description

template<typename EnvType>
class cuberl::rl::algos::dp::ValueIteration< EnvType >

ValueIteration class.

Member Typedef Documentation

◆ env_type

template<typename EnvType >
typedef DPSolverBase<EnvType>::env_type cuberl::rl::algos::dp::ValueIteration< EnvType >::env_type

env_t

Constructor & Destructor Documentation

◆ ValueIteration()

template<typename EnvType >
cuberl::rl::algos::dp::ValueIteration< EnvType >::ValueIteration ( const ValueIterationConfig  config)

Member Function Documentation

◆ actions_after_episode_ends()

template<typename EnvType >
virtual void cuberl::rl::algos::dp::ValueIteration< EnvType >::actions_after_episode_ends ( env_type ,
uint_t  ,
const EpisodeInfo  
)
inlineoverridevirtual

actions_after_training_episode

Reimplemented from cuberl::rl::algos::RLSolverBase< EnvType >.

◆ actions_after_training_ends()

template<typename EnvType >
void cuberl::rl::algos::dp::ValueIteration< EnvType >::actions_after_training_ends ( env_type )
overridevirtual

actions_after_training_ends. Actions to execute after the training iterations have finisehd

Implements cuberl::rl::algos::RLSolverBase< EnvType >.

◆ actions_before_episode_begins()

template<typename EnvType >
virtual void cuberl::rl::algos::dp::ValueIteration< EnvType >::actions_before_episode_begins ( env_type ,
uint_t   
)
inlineoverridevirtual

actions_before_training_episode

Reimplemented from cuberl::rl::algos::RLSolverBase< EnvType >.

◆ actions_before_training_begins()

template<typename EnvType >
void cuberl::rl::algos::dp::ValueIteration< EnvType >::actions_before_training_begins ( env_type env)
overridevirtual

actions_before_training_begins. Execute any actions the algorithm needs before starting the iterations

Implements cuberl::rl::algos::RLSolverBase< EnvType >.

◆ build_policy()

template<typename EnvType >
cuberl::rl::policies::MaxTabularPolicy cuberl::rl::algos::dp::ValueIteration< EnvType >::build_policy ( const env_type env) const

◆ on_training_episode()

template<typename EnvType >
EpisodeInfo cuberl::rl::algos::dp::ValueIteration< EnvType >::on_training_episode ( env_type env,
uint_t  episode_idx 
)
overridevirtual

on_episode Do one on_episode of the algorithm

Implements cuberl::rl::algos::RLSolverBase< EnvType >.

◆ save()

template<typename EnvType >
void cuberl::rl::algos::dp::ValueIteration< EnvType >::save ( const std::string &  filename) const

The documentation for this class was generated from the following file: