Initial commit

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: A2C
+- name: SAC
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: PandaReachDense-v3
     metrics:
     - type: mean_reward
-      value: -0.20 +/- 0.11
+      value: -0.23 +/- 0.11
       name: mean_reward
       verified: false
 ---
 
-# **A2C** Agent playing **PandaReachDense-v3**
-This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
+# **SAC** Agent playing **PandaReachDense-v3**
+This is a trained model of a **SAC** agent playing **PandaReachDense-v3**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
 ## Usage (with Stable-baselines3)

results.json

@@ -1 +1 @@
-{"mean_reward": -0.1969770890660584, "std_reward": 0.1135817402753483, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-06T16:43:02.095588"}
+{"mean_reward": -0.23158187177032233, "std_reward": 0.10607639274852877, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-06T17:03:59.200409"}

sac-PandaReachDense-v3.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4cb91078b4044aedc8a8c478cdb106045ecf09e0ebac98823eea2160aa4450fc
+oid sha256:54ab04aa731186ac0df95c558b3df68838c273e122550c2c812cf792f93a889d
 size 3141749

vec_normalize.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79771ce42dcdd987aab25cbbd09d36b32c2a0b61764e59e1131b13a0eb29a5c6
-size 2860
+oid sha256:bc4638cb73a07e152448f0b32be365043785b9ca00cb7594e2a6b68b7ef7fa71
+size 2847