tiago configs - FMR and FM

myGym/configs/train_FM_tiago.json

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+{
+    #Environment
+    "env_name"  :"Gym-v0",
+    "workspace" :"table_tiago",
+    "engine"    :"pybullet",
+    "render"    :"opengl",
+    "seed"      :1,
+    "camera"    :0,
+    "gui"       :0,
+    "visualize" :0,
+    "visgym"    :0,
+    #Robot
+    "robot"         :"tiago_dual",
+    "robot_action"  :"joints",
+    "robot_init"    :[0.17, 0.33, 0.4],
+    "max_velocity"  :5,
+    "max_force"     :300,
+    "action_repeat" :1,
+    #Task
+    "task_type"             :"FM",
+    "natural_language"      :0,
+    "task_objects"          :[{"init":{"obj_name":"sponge","fixed":0,"rand_rot":0, "sampling_area":[0.2,0.4,0.4,0.6,-0.3,-0.3]},
+                            "goal":{"obj_name":"cube_holes","fixed":1,"rand_rot":0, "sampling_area":[-0.7, -0.75, 0.2, -0.5, -0.3, 0.4]}}],
+    "color_dict"            : {"cube_holes":["green"], "target":["gray"]},
+    "used_objects"          :{"num_range":[0,0], "obj_list":[]},
+    // Observation
+    // actual_state options (pick one): "endeff_xyz", "endeff_6D" (robot end effector), "obj_xyz", "obj_6D", "vae", "yolact", "voxel" or "dope"
+    // goal_state options (pick one): "obj_xyz", "obj_6D", "vae", "yolact", "voxel" or "dope"
+    // additional_obs options (pick none/one/more): "joints_xyz", "joints_angles", "endeff_xyz", "endeff_6D", "touch", "distractor"
+    "observation"           : {"actual_state":"obj_6D", "goal_state":"obj_6D", "additional_obs":["endeff_xyz"]},
+    #Distractor
+    "distractors"           : {"list":null, "moveable":1, "constant_speed":0, "movement_dims":3,
+                                       "movement_endpoints":[-0.3, 0.3, 0.4, 0.7, 0.1, 0.3]},
+    #Reward
+    "reward"        :"FM",
+    "distance_type" :"euclidean",
+    "vae_path"      :null,
+    "yolact_path"   :null,
+    "yolact_config" :null,
+    #Train
+    "train_framework"   :"tensorflow",
+    "algo"              :"multippo2",
+    "num_networks"      :2,
+    "max_episode_steps" :512000,
+    "algo_steps"        :512,
+    "steps"             :5000000,
+    "pretrained_model"  :null,
+    "multiprocessing"   :false,
+    #Evaluation
+    "eval_freq"     :100000,
+    "eval_episodes" :30,
+    #Saving and logging
+    "logdir"    :"trained_models/swipe",
+    "record"    :0
+    }