# {py:mod}`evorl.algorithms.contrib.td3_v2`

```{py:module} evorl.algorithms.contrib.td3_v2
```

```{autodoc2-docstring} evorl.algorithms.contrib.td3_v2
:parser: autodoc2_docstrings_parser
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`TD3V2Workflow <evorl.algorithms.contrib.td3_v2.TD3V2Workflow>`
  - ```{autodoc2-docstring} evorl.algorithms.contrib.td3_v2.TD3V2Workflow
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`MISSING_LOSS <evorl.algorithms.contrib.td3_v2.MISSING_LOSS>`
  - ```{autodoc2-docstring} evorl.algorithms.contrib.td3_v2.MISSING_LOSS
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
````

### API

````{py:data} MISSING_LOSS
:canonical: evorl.algorithms.contrib.td3_v2.MISSING_LOSS
:value: >
   None

```{autodoc2-docstring} evorl.algorithms.contrib.td3_v2.MISSING_LOSS
:parser: autodoc2_docstrings_parser
```

````

`````{py:class} TD3V2Workflow(env: evorl.envs.Env, agent: evorl.agent.Agent, optimizer: optax.GradientTransformation, evaluator: evorl.evaluators.Evaluator, replay_buffer: evorl.replay_buffers.AbstractReplayBuffer, config: omegaconf.DictConfig)
:canonical: evorl.algorithms.contrib.td3_v2.TD3V2Workflow

Bases: {py:obj}`evorl.algorithms.td3.TD3Workflow`

```{autodoc2-docstring} evorl.algorithms.contrib.td3_v2.TD3V2Workflow
:parser: autodoc2_docstrings_parser
```

````{py:method} learn(state: evorl.types.State) -> evorl.types.State
:canonical: evorl.algorithms.contrib.td3_v2.TD3V2Workflow.learn

````

````{py:method} name()
:canonical: evorl.algorithms.contrib.td3_v2.TD3V2Workflow.name
:classmethod:

````

````{py:method} step(state: evorl.types.State) -> tuple[evorl.metrics.MetricBase, evorl.types.State]
:canonical: evorl.algorithms.contrib.td3_v2.TD3V2Workflow.step

````

`````