├── .gitignore ├── README.md ├── environment.yml ├── launch.py ├── lunzi ├── Logger.py ├── __init__.py ├── config.py ├── dataset.py ├── nn │ ├── __init__.py │ ├── container.py │ ├── flat_param.py │ ├── layers.py │ ├── loss.py │ ├── module.py │ ├── parameter.py │ ├── patch.py │ └── utils.py ├── stubs.py └── stubs.pyi ├── main.py ├── rllab ├── circle.yml ├── contrib │ ├── __init__.py │ ├── alexbeloi │ │ ├── __init__.py │ │ ├── examples │ │ │ ├── __init__.py │ │ │ ├── trpois_cartpole.py │ │ │ └── vpgis_cartpole.py │ │ └── is_sampler.py │ ├── bichengcao │ │ ├── __init__.py │ │ └── examples │ │ │ ├── __init__.py │ │ │ ├── trpo_gym_Acrobot-v1.py │ │ │ ├── trpo_gym_CartPole-v0.py │ │ │ ├── trpo_gym_CartPole-v1.py │ │ │ ├── trpo_gym_MountainCar-v0.py │ │ │ └── trpo_gym_Pendulum-v0.py │ └── rllab_hyperopt │ │ ├── __init__.py │ │ ├── core.py │ │ └── example │ │ ├── __init__.py │ │ ├── main.py │ │ ├── score.py │ │ └── task.py ├── environment.yml ├── examples │ ├── __init__.py │ ├── cluster_demo.py │ ├── cluster_gym_mujoco_demo.py │ ├── ddpg_cartpole.py │ ├── nop_cartpole.py │ ├── point_env.py │ ├── trpo_cartpole.py │ ├── trpo_cartpole_pickled.py │ ├── trpo_cartpole_recurrent.py │ ├── trpo_gym_cartpole.py │ ├── trpo_gym_pendulum.py │ ├── trpo_gym_tf_cartpole.py │ ├── trpo_point.py │ ├── trpo_swimmer.py │ ├── vpg_1.py │ └── vpg_2.py ├── rllab │ ├── __init__.py │ ├── algos │ │ ├── __init__.py │ │ ├── base.py │ │ ├── batch_polopt.py │ │ ├── cem.py │ │ ├── cma_es.py │ │ ├── cma_es_lib.py │ │ ├── ddpg.py │ │ ├── erwr.py │ │ ├── nop.py │ │ ├── npo.py │ │ ├── ppo.py │ │ ├── reps.py │ │ ├── tnpg.py │ │ ├── trpo.py │ │ ├── util.py │ │ └── vpg.py │ ├── config.py │ ├── config_personal.py │ ├── config_personal_template.py │ ├── core │ │ ├── __init__.py │ │ ├── lasagne_helpers.py │ │ ├── lasagne_layers.py │ │ ├── lasagne_powered.py │ │ ├── network.py │ │ ├── parameterized.py │ │ └── serializable.py │ ├── distributions │ │ ├── __init__.py │ │ ├── base.py │ │ ├── bernoulli.py │ │ ├── categorical.py │ │ ├── delta.py │ │ ├── diagonal_gaussian.py │ │ ├── recurrent_categorical.py │ │ └── recurrent_diagonal_gaussian.py │ ├── envs │ │ ├── __init__.py │ │ ├── base.py │ │ ├── box2d │ │ │ ├── __init__.py │ │ │ ├── box2d_env.py │ │ │ ├── box2d_viewer.py │ │ │ ├── car_parking_env.py │ │ │ ├── cartpole_env.py │ │ │ ├── cartpole_swingup_env.py │ │ │ ├── double_pendulum_env.py │ │ │ ├── mountain_car_env.py │ │ │ └── parser │ │ │ │ ├── __init__.py │ │ │ │ ├── xml_attr_types.py │ │ │ │ ├── xml_box2d.py │ │ │ │ └── xml_types.py │ │ ├── env_spec.py │ │ ├── grid_world_env.py │ │ ├── gym_env.py │ │ ├── identification_env.py │ │ ├── mujoco │ │ │ ├── HCstate-state.pkl │ │ │ ├── __init__.py │ │ │ ├── ant2d_task_env.py │ │ │ ├── ant3d_task_env.py │ │ │ ├── ant_env.py │ │ │ ├── ant_task_env.py │ │ │ ├── half_cheetah_2d_env.py │ │ │ ├── half_cheetah_env.py │ │ │ ├── half_cheetah_goalstate_env.py │ │ │ ├── half_cheetah_linearstate_env.py │ │ │ ├── half_cheetah_task_env.py │ │ │ ├── hopper_2d_env.py │ │ │ ├── hopper_env.py │ │ │ ├── humanoid_env.py │ │ │ ├── humanoid_task_env.py │ │ │ ├── simple_humanoid_env.py │ │ │ ├── task_param.py │ │ │ ├── walker_2d_env.py │ │ │ └── walker_env.py │ │ ├── noisy_env.py │ │ ├── normalized_env.py │ │ ├── occlusion_env.py │ │ ├── proxy_env.py │ │ └── sliding_mem_env.py │ ├── exploration_strategies │ │ ├── __init__.py │ │ ├── base.py │ │ ├── gaussian_strategy.py │ │ └── ou_strategy.py │ ├── misc │ │ ├── __init__.py │ │ ├── autoargs.py │ │ ├── console.py │ │ ├── ext.py │ │ ├── instrument.py │ │ ├── krylov.py │ │ ├── logger.py │ │ ├── mako_utils.py │ │ ├── meta.py │ │ ├── nb_utils.py │ │ ├── overrides.py │ │ ├── resolve.py │ │ ├── special.py │ │ ├── tabulate.py │ │ ├── tensor_utils.py │ │ └── viewer2d.py │ ├── optimizers │ │ ├── __init__.py │ │ ├── conjugate_gradient_optimizer.py │ │ ├── first_order_optimizer.py │ │ ├── hessian_free_optimizer.py │ │ ├── hf.py │ │ ├── lbfgs_optimizer.py │ │ ├── minibatch_dataset.py │ │ └── penalty_lbfgs_optimizer.py │ ├── plotter │ │ ├── __init__.py │ │ └── plotter.py │ ├── policies │ │ ├── __init__.py │ │ ├── base.py │ │ ├── categorical_conv_policy.py │ │ ├── categorical_gru_policy.py │ │ ├── categorical_mlp_policy.py │ │ ├── deterministic_mlp_policy.py │ │ ├── gaussian_gru_policy.py │ │ ├── gaussian_mlp_policy.py │ │ └── uniform_control_policy.py │ ├── q_functions │ │ ├── __init__.py │ │ ├── base.py │ │ └── continuous_mlp_q_function.py │ ├── regressors │ │ ├── __init__.py │ │ ├── categorical_mlp_regressor.py │ │ ├── gaussian_conv_regressor.py │ │ ├── gaussian_mlp_regressor.py │ │ └── product_regressor.py │ ├── sampler │ │ ├── __init__.py │ │ ├── base.py │ │ ├── parallel_sampler.py │ │ ├── stateful_pool.py │ │ └── utils.py │ ├── spaces │ │ ├── __init__.py │ │ ├── base.py │ │ ├── box.py │ │ ├── discrete.py │ │ └── product.py │ └── viskit │ │ ├── __init__.py │ │ ├── core.py │ │ ├── frontend.py │ │ ├── static │ │ ├── css │ │ │ ├── bootstrap.min.css │ │ │ └── dropdowns-enhancement.css │ │ └── js │ │ │ ├── bootstrap.min.js │ │ │ ├── dropdowns-enhancement.js │ │ │ ├── jquery-1.10.2.min.js │ │ │ ├── jquery.loadTemplate-1.5.6.js │ │ │ └── plotly-latest.min.js │ │ └── templates │ │ └── main.html ├── sandbox │ ├── __init__.py │ └── rocky │ │ ├── __init__.py │ │ └── tf │ │ ├── __init__.py │ │ ├── algos │ │ ├── __init__.py │ │ ├── batch_polopt.py │ │ ├── npg.py │ │ ├── npo.py │ │ ├── trpo.py │ │ └── vpg.py │ │ ├── core │ │ ├── __init__.py │ │ ├── layers.py │ │ ├── layers_powered.py │ │ ├── network.py │ │ └── parameterized.py │ │ ├── distributions │ │ ├── __init__.py │ │ ├── base.py │ │ ├── bernoulli.py │ │ ├── categorical.py │ │ ├── diagonal_gaussian.py │ │ ├── recurrent_categorical.py │ │ └── recurrent_diagonal_gaussian.py │ │ ├── envs │ │ ├── __init__.py │ │ ├── base.py │ │ ├── parallel_vec_env_executor.py │ │ └── vec_env_executor.py │ │ ├── launchers │ │ ├── __init__.py │ │ ├── trpo_cartpole.py │ │ ├── trpo_cartpole_recurrent.py │ │ └── vpg_cartpole.py │ │ ├── misc │ │ ├── __init__.py │ │ └── tensor_utils.py │ │ ├── optimizers │ │ ├── __init__.py │ │ ├── conjugate_gradient_optimizer.py │ │ ├── first_order_optimizer.py │ │ ├── lbfgs_optimizer.py │ │ └── penalty_lbfgs_optimizer.py │ │ ├── policies │ │ ├── __init__.py │ │ ├── base.py │ │ ├── categorical_conv_policy.py │ │ ├── categorical_gru_policy.py │ │ ├── categorical_lstm_policy.py │ │ ├── categorical_mlp_policy.py │ │ ├── deterministic_mlp_policy.py │ │ ├── gaussian_gru_policy.py │ │ ├── gaussian_lstm_policy.py │ │ ├── gaussian_mlp_policy.py │ │ └── uniform_control_policy.py │ │ ├── q_functions │ │ ├── __init__.py │ │ ├── base.py │ │ └── continuous_mlp_q_function.py │ │ ├── regressors │ │ ├── __init__.py │ │ ├── bernoulli_mlp_regressor.py │ │ ├── categorical_mlp_regressor.py │ │ ├── deterministic_mlp_regressor.py │ │ └── gaussian_mlp_regressor.py │ │ ├── samplers │ │ ├── __init__.py │ │ ├── batch_sampler.py │ │ └── vectorized_sampler.py │ │ └── spaces │ │ ├── __init__.py │ │ ├── box.py │ │ ├── discrete.py │ │ └── product.py ├── scripts │ ├── __init__.py │ ├── resume_training.py │ ├── run_experiment_lite.py │ ├── setup_ec2_for_rllab.py │ ├── setup_linux.sh │ ├── setup_mujoco.sh │ ├── setup_osx.sh │ ├── sim_env.py │ ├── sim_policy.py │ ├── submit_gym.py │ └── sync_s3.py ├── setup.py ├── tests │ ├── __init__.py │ ├── algos │ │ ├── __init__.py │ │ └── test_trpo.py │ ├── envs │ │ ├── __init__.py │ │ ├── test_envs.py │ │ └── test_maze_env.py │ ├── regression_tests │ │ ├── __init__.py │ │ └── test_issue_3.py │ ├── test_algos.py │ ├── test_baselines.py │ ├── test_instrument.py │ ├── test_networks.py │ ├── test_sampler.py │ ├── test_serializable.py │ ├── test_spaces.py │ └── test_stateful_pool.py └── vendor │ └── __init__.py └── slbo ├── __init__.py ├── algos ├── ADVTASK.py ├── TRPO.py └── __init__.py ├── dynamics_model.py ├── envs ├── __init__.py ├── batched_env.py ├── mujoco │ ├── __init__.py │ ├── ant2d_task_env.py │ ├── ant3d_task_env.py │ ├── ant_env.py │ ├── ant_task_env.py │ ├── half_cheetah_2d_env.py │ ├── half_cheetah_env.py │ ├── half_cheetah_goalstate_env.py │ ├── half_cheetah_linearstate_env.py │ ├── half_cheetah_task_env.py │ ├── hopper_2d_env.py │ ├── hopper_env.py │ ├── humanoid_env.py │ ├── humanoid_task_env.py │ ├── walker_2d_env.py │ └── walker_env.py └── virtual_env.py ├── loss ├── __init__.py └── multi_step_loss.py ├── partial_envs.py ├── policies ├── __init__.py ├── gaussian_mlp_policy.py └── uniform_policy.py ├── q_function ├── __init__.py └── mlp_q_function.py ├── utils ├── OU_noise.py ├── __init__.py ├── average_meter.py ├── dataset.py ├── flags.py ├── multi_layer_perceptron.py ├── normalizer.py ├── np_utils.py ├── runner.py ├── tf_utils.py └── truncated_normal.py └── v_function ├── __init__.py └── mlp_v_function.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinZichuan/AdMRL/HEAD/.gitignore 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