diff --git a/UPDATE.md b/UPDATE.md
index 3c4c25d..0120b8d 100644
--- a/UPDATE.md
+++ b/UPDATE.md
@@ -1,3 +1,7 @@
+# 20260104
+## v0.1.3
+1. 修改moe-cts的torch script输出为`action, (weights, latent)`形式, cts输出为`action, (None, latent)`
+2. 将cts,moe-cts的robogauge评测task都改为`go2_moe`
 # 20251231
 ## v0.1.2
 1. 加入PPO的Robogauge评估
diff --git a/rsl_rl/rsl_rl/runners/on_policy_runner_cts.py b/rsl_rl/rsl_rl/runners/on_policy_runner_cts.py
index 38a8032..0c8de75 100644
--- a/rsl_rl/rsl_rl/runners/on_policy_runner_cts.py
+++ b/rsl_rl/rsl_rl/runners/on_policy_runner_cts.py
@@ -292,9 +292,7 @@ class OnPolicyRunnerCTS:
             jit_path = os.path.join(jit_dir, f'policy_jit_{it}.pt')
             export_policy_as_jit(self.alg.model, jit_dir, filename=f'policy_jit_{it}.pt')
             # upload to robogauge
-            task_name = 'go2'
-            if 'moe' in self.cfg["algorithm_class_name"].lower() or 'mcp' in self.cfg["algorithm_class_name"].lower():
-                task_name = 'go2_moe'
+            task_name = 'go2_moe'  # Both cts, moe-cts actor return a tuple `action, (latent, ...)`
             self.robogauge_client.submit_task(
                 model_path=jit_path,
                 step=it,