Test commit

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: TQC
+- name: A2C
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: PandaReachDense-v2
     metrics:
     - type: mean_reward
-      value: -15.19 +/- 3.25
+      value: -1.93 +/- 0.23
       name: mean_reward
       verified: false
 ---
 
-# **TQC** Agent playing **PandaReachDense-v2**
-This is a trained model of a **TQC** agent playing **PandaReachDense-v2**
+# **A2C** Agent playing **PandaReachDense-v2**
+This is a trained model of a **A2C** agent playing **PandaReachDense-v2**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
 ## Usage (with Stable-baselines3)

a2c-PandaReachDense-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 105179
+oid sha256:b7d4593aa77f4e971582d5d1ef4dddbb0032db2af9c7a01af61abe473756042c
+size 105182

a2c-PandaReachDense-v2/data

@@ -41,12 +41,12 @@
         "_np_random": null
     },
     "n_envs": 1,
-    "num_timesteps": 10000,
-    "_total_timesteps": 10000,
+    "num_timesteps": 100000,
+    "_total_timesteps": 100000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1672434881350440358,
+    "start_time": 1672435170234352115,
     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -55,9 +55,9 @@
     },
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         "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12  1.9740014e-01]]",
-        "desired_goal": "[[-0.11429217  0.03635474  0.18344961]]",
+        "desired_goal": "[[ 0.02581913 -0.06856478  0.20899706]]",
         "observation": "[[ 3.8439669e-02 -2.1944723e-12  1.9740014e-01  0.0000000e+00\n  -0.0000000e+00  0.0000000e+00]]"
     },
     "_last_episode_starts": {
@@ -71,13 +71,13 @@
     "_current_progress_remaining": 0.0,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
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results.json

@@ -1 +1 @@
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