Add demos/dataset_trajectories

.gitattributes

@@ -198,3 +198,7 @@ demos/rollout_imagination/rollout_06_strong.png filter=lfs diff=lfs merge=lfs -t
 demos/rollout_imagination/rollout_07_strong.png filter=lfs diff=lfs merge=lfs -text
 demos/rollout_imagination/rollout_08_weak.png filter=lfs diff=lfs merge=lfs -text
 demos/rollout_imagination/rollout_09_strong.png filter=lfs diff=lfs merge=lfs -text
+demos/dataset_trajectories/traj_expert_good.png filter=lfs diff=lfs merge=lfs -text
+demos/dataset_trajectories/traj_expert_suboptimal.png filter=lfs diff=lfs merge=lfs -text
+demos/dataset_trajectories/traj_policy_failed.png filter=lfs diff=lfs merge=lfs -text
+demos/dataset_trajectories/traj_policy_good.png filter=lfs diff=lfs merge=lfs -text

demos/dataset_trajectories/dataset_demo.json

@@ -0,0 +1,40 @@
+{
+  "expert_good": {
+    "episode": 169,
+    "return": 15.969409503042698,
+    "length": 150,
+    "expert_frac": 0.6666666666666666,
+    "png": "traj_expert_good.png"
+  },
+  "expert_suboptimal": {
+    "episode": 447,
+    "return": 0.4800022142007947,
+    "length": 150,
+    "expert_frac": 0.6866666666666666,
+    "png": "traj_expert_suboptimal.png"
+  },
+  "policy_good": {
+    "episode": 267,
+    "return": 17.307461757212877,
+    "length": 150,
+    "expert_frac": 0.0,
+    "png": "traj_policy_good.png"
+  },
+  "policy_failed": {
+    "episode": 960,
+    "return": -12.304098225198686,
+    "length": 150,
+    "expert_frac": 0.0,
+    "png": "traj_policy_failed.png"
+  },
+  "_population": {
+    "episodes": 1911,
+    "complete_episodes": 1596,
+    "return_median": 12.106585658155382,
+    "return_min": -112.0328181842342,
+    "return_max": 17.307461757212877,
+    "expert_frac_median": 0.6285714285714286,
+    "expert_frac_max": 0.8857142857142857,
+    "negative_return_episodes": 64
+  }
+}