trinity.algorithm.sample_strategy.sample_strategy module

class trinity.algorithm.sample_strategy.sample_strategy.SampleStrategy(buffer_config: BufferConfig, **kwargs)[source]

Bases: ABC

abstract async sample(step: int) → Tuple[Experiences, Dict, List][source]

Sample data from buffer.

Parameters:: step (int) – The step number of current step.
Returns:: The sampled Experiences data. Dict: Metrics for logging. List: Representative data for logging.
Return type:: Experiences

abstract classmethod default_args() → dict[source]: Get the default arguments of the sample strategy.

class trinity.algorithm.sample_strategy.sample_strategy.WarmupSampleStrategy(buffer_config: BufferConfig, **kwargs)[source]

The default sample strategy.

async sample(step: int, **kwargs) → Tuple[Experiences, Dict, List][source]

Sample data from buffer.

Parameters:: step (int) – The step number of current step.
Returns:: The sampled Experiences data. Dict: Metrics for logging. List: Representative data for logging.
Return type:: Experiences

classmethod default_args() → dict[source]: Get the default arguments of the sample strategy.

class trinity.algorithm.sample_strategy.sample_strategy.DefaultSampleStrategy(buffer_config: BufferConfig, **kwargs)[source]

async sample(step: int, **kwargs) → Tuple[Any, Dict, List][source]

Sample data from buffer.

Parameters:: step (int) – The step number of current step.
Returns:: The sampled Experiences data. Dict: Metrics for logging. List: Representative data for logging.
Return type:: Experiences

classmethod default_args() → dict[source]: Get the default arguments of the sample strategy.