All modules for which code is available

• metarl._dtypes
• metarl._functions
• metarl.envs.env_spec
• metarl.experiment.deterministic
• metarl.experiment.experiment
• metarl.experiment.experiment_wrapper
• metarl.experiment.local_runner
• metarl.experiment.local_tf_runner
• metarl.experiment.meta_evaluator
• metarl.experiment.snapshotter
• metarl.experiment.task_sampler
• metarl.misc.tensor_utils
• metarl.np._functions
• metarl.np.algos.cem
• metarl.np.algos.cma_es
• metarl.np.algos.meta_rl_algorithm
• metarl.np.algos.nop
• metarl.np.algos.off_policy_rl_algorithm
• metarl.np.algos.rl_algorithm
• metarl.np.baselines.baseline
• metarl.np.baselines.linear_feature_baseline
• metarl.np.baselines.linear_multi_feature_baseline
• metarl.np.baselines.zero_baseline
• metarl.np.embeddings.encoder
• metarl.np.exploration_policies.add_gaussian_noise
• metarl.np.exploration_policies.add_ornstein_uhlenbeck_noise
• metarl.np.exploration_policies.epsilon_greedy_policy
• metarl.np.exploration_policies.exploration_policy
• metarl.np.optimizers.minibatch_dataset
• metarl.np.policies.fixed_policy
• metarl.np.policies.policy
• metarl.np.policies.scripted_policy
• metarl.np.q_functions.q_function
• metarl.plotter.plotter
• metarl.replay_buffer.her_replay_buffer
• metarl.replay_buffer.path_buffer
• metarl.replay_buffer.replay_buffer
• metarl.sampler.batch_sampler
• metarl.sampler.default_worker
• metarl.sampler.env_update
• metarl.sampler.is_sampler
• metarl.sampler.local_sampler
• metarl.sampler.multiprocessing_sampler
• metarl.sampler.off_policy_vectorized_sampler
• metarl.sampler.on_policy_vectorized_sampler
• metarl.sampler.parallel_sampler
• metarl.sampler.parallel_vec_env_executor
• metarl.sampler.ray_sampler
• metarl.sampler.sampler
• metarl.sampler.sampler_deprecated
• metarl.sampler.stateful_pool
• metarl.sampler.utils
• metarl.sampler.vec_env_executor
• metarl.sampler.vec_worker
• metarl.sampler.worker
• metarl.sampler.worker_factory
• metarl.tf._functions
• metarl.tf.algos.ddpg
• metarl.tf.algos.dqn
• metarl.tf.algos.erwr
• metarl.tf.algos.npo
• metarl.tf.algos.ppo
• metarl.tf.algos.reps
• metarl.tf.algos.vpg
• metarl.tf.baselines.continuous_mlp_baseline
• metarl.tf.baselines.gaussian_cnn_baseline
• metarl.tf.baselines.gaussian_mlp_baseline
• metarl.tf.distributions.bernoulli
• metarl.tf.distributions.categorical
• metarl.tf.distributions.diagonal_gaussian
• metarl.tf.distributions.distribution
• metarl.tf.distributions.recurrent_categorical
• metarl.tf.embeddings.encoder
• metarl.tf.embeddings.gaussian_mlp_encoder
• metarl.tf.misc.tensor_utils
• metarl.tf.models.categorical_cnn_model
• metarl.tf.models.categorical_gru_model
• metarl.tf.models.categorical_lstm_model
• metarl.tf.models.categorical_mlp_model
• metarl.tf.models.cnn
• metarl.tf.models.cnn_mlp_merge_model
• metarl.tf.models.cnn_model
• metarl.tf.models.cnn_model_max_pooling
• metarl.tf.models.gaussian_cnn_model
• metarl.tf.models.gaussian_gru_model
• metarl.tf.models.gaussian_lstm_model
• metarl.tf.models.gaussian_mlp_model
• metarl.tf.models.gru
• metarl.tf.models.gru_model
• metarl.tf.models.lstm
• metarl.tf.models.lstm_model
• metarl.tf.models.mlp
• metarl.tf.models.mlp_dueling_model
• metarl.tf.models.mlp_merge_model
• metarl.tf.models.mlp_model
• metarl.tf.models.model
• metarl.tf.models.module
• metarl.tf.models.normalized_input_mlp_model
• metarl.tf.models.parameter
• metarl.tf.models.sequential
• metarl.tf.optimizers.conjugate_gradient_optimizer
• metarl.tf.optimizers.first_order_optimizer
• metarl.tf.optimizers.lbfgs_optimizer
• metarl.tf.optimizers.penalty_lbfgs_optimizer
• metarl.tf.optimizers.utils
• metarl.tf.plotter.plotter
• metarl.tf.policies.categorical_cnn_policy
• metarl.tf.policies.categorical_gru_policy
• metarl.tf.policies.categorical_lstm_policy
• metarl.tf.policies.categorical_mlp_policy
• metarl.tf.policies.continuous_mlp_policy
• metarl.tf.policies.discrete_qf_derived_policy
• metarl.tf.policies.gaussian_gru_policy
• metarl.tf.policies.gaussian_lstm_policy
• metarl.tf.policies.gaussian_mlp_policy
• metarl.tf.policies.gaussian_mlp_task_embedding_policy
• metarl.tf.policies.policy
• metarl.tf.policies.task_embedding_policy
• metarl.tf.policies.uniform_control_policy
• metarl.tf.q_functions.continuous_cnn_q_function
• metarl.tf.q_functions.continuous_mlp_q_function
• metarl.tf.q_functions.discrete_cnn_q_function
• metarl.tf.q_functions.discrete_mlp_q_function
• metarl.tf.q_functions.q_function
• metarl.tf.regressors.bernoulli_mlp_regressor
• metarl.tf.regressors.categorical_mlp_regressor
• metarl.tf.regressors.continuous_mlp_regressor
• metarl.tf.regressors.gaussian_cnn_regressor
• metarl.tf.regressors.gaussian_cnn_regressor_model
• metarl.tf.regressors.gaussian_mlp_regressor
• metarl.tf.regressors.gaussian_mlp_regressor_model
• metarl.tf.regressors.regressor
• metarl.tf.samplers.batch_sampler
• metarl.tf.samplers.worker
• metarl.torch._functions
• metarl.torch.algos.ddpg
• metarl.torch.algos.maml
• metarl.torch.algos.maml_ppo
• metarl.torch.algos.maml_trpo
• metarl.torch.algos.maml_vpg
• metarl.torch.algos.ppo
• metarl.torch.algos.trpo
• metarl.torch.algos.vpg
• metarl.torch.distributions.tanh_normal
• metarl.torch.embeddings.mlp_encoder
• metarl.torch.modules.gaussian_mlp_module
• metarl.torch.modules.mlp_module
• metarl.torch.modules.multi_headed_mlp_module
• metarl.torch.optimizers.conjugate_gradient_optimizer
• metarl.torch.optimizers.differentiable_sgd
• metarl.torch.optimizers.optimizer_wrapper
• metarl.torch.policies.context_conditioned_policy
• metarl.torch.policies.deterministic_mlp_policy
• metarl.torch.policies.gaussian_mlp_policy
• metarl.torch.policies.policy
• metarl.torch.policies.tanh_gaussian_mlp_policy
• metarl.torch.q_functions.continuous_mlp_q_function
• metarl.torch.value_functions.gaussian_mlp_value_function
• metarl.torch.value_functions.value_function