# {py:mod}`evorl.algorithms.dqn` ```{py:module} evorl.algorithms.dqn ``` ```{autodoc2-docstring} evorl.algorithms.dqn :parser: autodoc2_docstrings_parser :allowtitles: ``` ## Module Contents ### Classes ````{list-table} :class: autosummary longtable :align: left * - {py:obj}`DQNAgent ` - * - {py:obj}`DQNNetworkParams ` - * - {py:obj}`DQNTrainMetric ` - * - {py:obj}`DQNWorkflow ` - * - {py:obj}`DQNWorkflowMetric ` - ```` ### Functions ````{list-table} :class: autosummary longtable :align: left * - {py:obj}`make_mlp_discrete_dqn_agent ` - ```{autodoc2-docstring} evorl.algorithms.dqn.make_mlp_discrete_dqn_agent :parser: autodoc2_docstrings_parser :summary: ``` ```` ### API `````{py:class} DQNAgent :canonical: evorl.algorithms.dqn.DQNAgent Bases: {py:obj}`evorl.agent.Agent` ````{py:method} compute_actions(agent_state: evorl.agent.AgentState, sample_batch: evorl.sample_batch.SampleBatch, key: chex.PRNGKey) -> tuple[evorl.types.Action, evorl.types.PolicyExtraInfo] :canonical: evorl.algorithms.dqn.DQNAgent.compute_actions ```` ````{py:attribute} discount :canonical: evorl.algorithms.dqn.DQNAgent.discount :type: float :value: > 0.99 ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.discount :parser: autodoc2_docstrings_parser ``` ```` ````{py:method} evaluate_actions(agent_state: evorl.agent.AgentState, sample_batch: evorl.sample_batch.SampleBatch, key: chex.PRNGKey) -> tuple[evorl.types.Action, evorl.types.PolicyExtraInfo] :canonical: evorl.algorithms.dqn.DQNAgent.evaluate_actions ```` ````{py:method} init(obs_space: evorl.envs.Space, action_space: evorl.envs.Space, key: chex.PRNGKey) -> evorl.agent.AgentState :canonical: evorl.algorithms.dqn.DQNAgent.init ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.init :parser: autodoc2_docstrings_parser ``` ```` ````{py:method} loss(agent_state: evorl.agent.AgentState, sample_batch: evorl.sample_batch.SampleBatch, key: chex.PRNGKey) -> evorl.types.LossDict :canonical: evorl.algorithms.dqn.DQNAgent.loss ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.loss :parser: autodoc2_docstrings_parser ``` ```` ````{py:property} normalize_obs :canonical: evorl.algorithms.dqn.DQNAgent.normalize_obs ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.normalize_obs :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} obs_preprocessor :canonical: evorl.algorithms.dqn.DQNAgent.obs_preprocessor :type: typing.Any :value: > 'pytree_field(...)' ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.obs_preprocessor :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} q_network :canonical: evorl.algorithms.dqn.DQNAgent.q_network :type: flax.linen.Module :value: > None ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.q_network :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} target_type :canonical: evorl.algorithms.dqn.DQNAgent.target_type :type: str :value: > 'DDQN' ```{autodoc2-docstring} evorl.algorithms.dqn.DQNAgent.target_type :parser: autodoc2_docstrings_parser ``` ```` ````` `````{py:class} DQNNetworkParams :canonical: evorl.algorithms.dqn.DQNNetworkParams Bases: {py:obj}`evorl.types.PyTreeData` ````{py:attribute} exploration_epsilon :canonical: evorl.algorithms.dqn.DQNNetworkParams.exploration_epsilon :type: float :value: > None ```{autodoc2-docstring} evorl.algorithms.dqn.DQNNetworkParams.exploration_epsilon :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} q_params :canonical: evorl.algorithms.dqn.DQNNetworkParams.q_params :type: evorl.types.Params :value: > None ```{autodoc2-docstring} evorl.algorithms.dqn.DQNNetworkParams.q_params :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} target_q_params :canonical: evorl.algorithms.dqn.DQNNetworkParams.target_q_params :type: evorl.types.Params :value: > None ```{autodoc2-docstring} evorl.algorithms.dqn.DQNNetworkParams.target_q_params :parser: autodoc2_docstrings_parser ``` ```` ````` `````{py:class} DQNTrainMetric :canonical: evorl.algorithms.dqn.DQNTrainMetric Bases: {py:obj}`evorl.metrics.MetricBase` ````{py:attribute} loss :canonical: evorl.algorithms.dqn.DQNTrainMetric.loss :type: chex.Array :value: > 'zeros(...)' ```{autodoc2-docstring} evorl.algorithms.dqn.DQNTrainMetric.loss :parser: autodoc2_docstrings_parser ``` ```` ````{py:attribute} raw_loss_dict :canonical: evorl.algorithms.dqn.DQNTrainMetric.raw_loss_dict :type: evorl.types.LossDict :value: > 'metric_field(...)' ```{autodoc2-docstring} evorl.algorithms.dqn.DQNTrainMetric.raw_loss_dict :parser: autodoc2_docstrings_parser ``` ```` ````` `````{py:class} DQNWorkflow(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.dqn.DQNWorkflow Bases: {py:obj}`evorl.algorithms.offpolicy_utils.OffPolicyWorkflowTemplate` ````{py:method} name() :canonical: evorl.algorithms.dqn.DQNWorkflow.name :classmethod: ```` ````{py:method} step(state: evorl.types.State) -> tuple[evorl.metrics.MetricBase, evorl.types.State] :canonical: evorl.algorithms.dqn.DQNWorkflow.step ```` ````` `````{py:class} DQNWorkflowMetric :canonical: evorl.algorithms.dqn.DQNWorkflowMetric Bases: {py:obj}`evorl.metrics.WorkflowMetric` ````{py:attribute} training_updates :canonical: evorl.algorithms.dqn.DQNWorkflowMetric.training_updates :type: chex.Array :value: > 'zeros(...)' ```{autodoc2-docstring} evorl.algorithms.dqn.DQNWorkflowMetric.training_updates :parser: autodoc2_docstrings_parser ``` ```` ````` ````{py:function} make_mlp_discrete_dqn_agent(action_space: evorl.envs.Space, discount: float = 0.99, target_type: str = 'DDQN', q_hidden_layer_sizes: tuple[int] = (256, 256), normalize_obs: bool = False, value_obs_key: str = '') :canonical: evorl.algorithms.dqn.make_mlp_discrete_dqn_agent ```{autodoc2-docstring} evorl.algorithms.dqn.make_mlp_discrete_dqn_agent :parser: autodoc2_docstrings_parser ``` ````