adapted encoder naming and fixed namespace for parameters

Author: ReykCS

agents/burger/hyperparameters.json

@@ -1,24 +1,25 @@
 {
-    "agent_name": "AGENT_24_2022_01_27__20_31",
-    "robot": "burger",
-    "actions_in_observationspace": true,	
-    "batch_size": 19200,
-    "gamma": 0.99,
-    "n_steps": 1200,
-    "ent_coef": 0.005,
-    "learning_rate": 0.0003,
-    "vf_coef": 0.22,
-    "max_grad_norm": 0.5,
-    "gae_lambda": 0.95,
-    "m_batch_size": 15,
-    "n_epochs": 3,
-    "clip_range": 0.22,
-    "train_max_steps_per_episode": 250,
-    "eval_max_steps_per_episode": 400,
-    "goal_radius": 0.25,
-    "reward_fnc": "rule_05",
-    "discrete_action_space": false,
-    "normalize": false,
-    "task_mode": "staged",
-    "curr_stage": 6
+  "agent_name": "AGENT_24_2022_01_27__20_31",
+  "robot": "burger",
+  "actions_in_observationspace": true,
+  "batch_size": 19200,
+  "gamma": 0.99,
+  "n_steps": 1200,
+  "ent_coef": 0.005,
+  "learning_rate": 0.0003,
+  "vf_coef": 0.22,
+  "max_grad_norm": 0.5,
+  "gae_lambda": 0.95,
+  "m_batch_size": 15,
+  "n_epochs": 3,
+  "clip_range": 0.22,
+  "train_max_steps_per_episode": 250,
+  "eval_max_steps_per_episode": 400,
+  "goal_radius": 0.25,
+  "reward_fnc": "rule_05",
+  "discrete_action_space": false,
+  "normalize": false,
+  "task_mode": "staged",
+  "curr_stage": 6,
+  "observation_space": ["laser_scan", "goal_in_robot_frame", "last_action"]
 }

agents/jackal/hyperparameters.json

@@ -1,24 +1,25 @@
 {
-    "agent_name": "AGENT_24_2022_02_04__11_28",
-    "robot": "jackal",
-    "actions_in_observationspace": true,
-    "reward_fnc": "rule_05",
-    "discrete_action_space": false,
-    "normalize": false,
-    "task_mode": "staged",
-    "train_max_steps_per_episode": 150,
-    "eval_max_steps_per_episode": 200,
-    "goal_radius": 0.7,
-    "curr_stage": 11,
-    "batch_size": 19200,
-    "gamma": 0.99,
-    "n_steps": 1600,
-    "ent_coef": 0.005,
-    "learning_rate": 0.0003,
-    "vf_coef": 0.22,
-    "max_grad_norm": 0.5,
-    "gae_lambda": 0.95,
-    "m_batch_size": 15,
-    "n_epochs": 3,
-    "clip_range": 0.22
-}
+  "agent_name": "AGENT_24_2022_02_04__11_28",
+  "robot": "jackal",
+  "actions_in_observationspace": true,
+  "reward_fnc": "rule_05",
+  "discrete_action_space": false,
+  "normalize": false,
+  "task_mode": "staged",
+  "train_max_steps_per_episode": 150,
+  "eval_max_steps_per_episode": 200,
+  "goal_radius": 0.7,
+  "curr_stage": 11,
+  "batch_size": 19200,
+  "gamma": 0.99,
+  "n_steps": 1600,
+  "ent_coef": 0.005,
+  "learning_rate": 0.0003,
+  "vf_coef": 0.22,
+  "max_grad_norm": 0.5,
+  "gae_lambda": 0.95,
+  "m_batch_size": 15,
+  "n_epochs": 3,
+  "clip_range": 0.22,
+  "observation_space": ["laser_scan", "goal_in_robot_frame", "last_action"]
+}

agents/jackal_barn/best_model.zip

@@ -1,23 +1,24 @@
 {
-    "agent_name": "AGENT_21_2021_12_27__00_06",
-    "robot": "ridgeback",
-    "batch_size": 19200,
-    "gamma": 0.99,
-    "n_steps": 19200,
-    "ent_coef": 0.005,
-    "learning_rate": 0.0003,
-    "vf_coef": 0.22,
-    "max_grad_norm": 0.5,
-    "gae_lambda": 0.95,
-    "m_batch_size": 15,
-    "n_epochs": 3,
-    "clip_range": 0.22,
-    "train_max_steps_per_episode": 150,
-    "eval_max_steps_per_episode": 250,
-    "goal_radius": 0.25,
-    "reward_fnc": "rule_03",
-    "discrete_action_space": false,
-    "normalize": false,
-    "task_mode": "staged",
-    "curr_stage": 9
-}
+  "agent_name": "AGENT_21_2021_12_27__00_06",
+  "robot": "ridgeback",
+  "batch_size": 19200,
+  "gamma": 0.99,
+  "n_steps": 19200,
+  "ent_coef": 0.005,
+  "learning_rate": 0.0003,
+  "vf_coef": 0.22,
+  "max_grad_norm": 0.5,
+  "gae_lambda": 0.95,
+  "m_batch_size": 15,
+  "n_epochs": 3,
+  "clip_range": 0.22,
+  "train_max_steps_per_episode": 150,
+  "eval_max_steps_per_episode": 250,
+  "goal_radius": 0.25,
+  "reward_fnc": "rule_03",
+  "discrete_action_space": false,
+  "normalize": false,
+  "task_mode": "staged",
+  "curr_stage": 9,
+  "observation_space": ["laser_scan", "goal_in_robot_frame", "last_action"]
+}