Uploading flowers-team/TA_ALP-GMM_SAC_fish_s44

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- sac
+- deep-reinforcement-learning
+- reinforcement-learning
+- teach-my-agent-parkour
+model-index:
+- name: ALP-GMM_SAC_fish_s44
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 268.93 +/- 94.84
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: teach-my-agent-parkour
+      type: teach-my-agent-parkour
+---
+
+  # Deep RL Agent Playing TeachMyAgent's parkour.
+  You can find more info about TeachMyAgent [here](https://developmentalsystems.org/TeachMyAgent/).
+  
+  Results of our benchmark can be found in our [paper](https://arxiv.org/pdf/2103.09815.pdf).
+  
+  You can test this policy [here](https://huggingface.co/spaces/flowers-team/Interactive_DeepRL_Demo)
+  
+  ## Results
+  Percentage of mastered tasks (i.e. reward >= 230) after 20 millions steps on the Parkour track. 
+  
+  Results shown are averages over 16 seeds along with the standard deviation for each morphology as well as the aggregation of the 48 seeds in the *Overall* column. 
+  
+  We highlight the best results in bold.
+  
+  | Algorithm     | BipedalWalker  | Fish          | Climber      | Overall       |
+  |---------------|----------------|---------------|--------------|---------------|
+  | Random        | 27.25 (± 10.7) | 23.6 (± 21.3) | 0.0 (± 0.0)  | 16.9 (± 18.3) |
+  | ADR           | 14.7 (± 19.4)  | 5.3 (± 20.6)  | 0.0 (± 0.0)  | 6.7 (± 17.4)  |
+  | ALP-GMM       | **42.7** (± 11.2)  | 36.1 (± 28.5) | 0.4 (± 1.2)  | **26.4** (± 25.7) |
+  | Covar-GMM     | 35.7 (± 15.9)  | 29.9 (± 27.9) | 0.5 (± 1.9)  | 22.1 (± 24.2) |
+  | GoalGAN       | 25.4 (± 24.7)  | 34.7 ± 37.0)  | 0.8 (± 2.7)  | 20.3 (± 29.5) |
+  | RIAC          | 31.2 (± 8.2)   | **37.4** (± 25.4) | 0.4  (± 1.4) | 23.0 (± 22.4) |
+  | SPDL          | 30.6 (± 22.8)  | 9.0 (± 24.2)  | **1.0** (± 3.4)  | 13.5 (± 23.0) |
+  | Setter-Solver | 28.75 (± 20.7) | 5.1 (± 7.6)   | 0.0 (± 0.0)  | 11.3 (± 17.9) |
+
+  # Hyperparameters
+  ```python
+  {'student': 'SAC'
+'environment': 'parkour'
+'training_steps': 20000000
+'n_evaluation_tasks': 100
+'teacher': 'ALP-GMM'
+'morphology': 'fish'}
+  ```
+  

group1-shard1of1.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a6aad7a1b80042029306617d435b3b5e569c8261d72bbabda041d4831490721
+size 2200460

model.json

@@ -0,0 +1 @@
+{"format": "graph-model", "generatedBy": "1.15.3", "convertedBy": "TensorFlow.js Converter v3.19.0", "signature": {"inputs": {"a": {"name": "Placeholder_2:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "4"}]}}, "x": {"name": "Placeholder_1:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "38"}]}}}, "outputs": {"main/mul_1:0": {"name": "main/mul_1:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "4"}]}}, "main/v/Squeeze:0": {"name": "main/v/Squeeze:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}]}}, "main/q2/Squeeze:0": {"name": "main/q2/Squeeze:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}]}}, "main/mul:0": {"name": "main/mul:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "4"}]}}, "main/q1/Squeeze:0": {"name": "main/q1/Squeeze:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}]}}}}, "modelTopology": {"node": [{"name": "Placeholder_1", "op": "Placeholder", "attr": {"dtype": {"type": "DT_FLOAT"}, "shape": {"shape": {"dim": [{"size": "-1"}, {"size": "38"}]}}}}, {"name": "Placeholder_2", "op": "Placeholder", "attr": {"shape": {"shape": {"dim": [{"size": "-1"}, {"size": "4"}]}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "38"}, {"size": "400"}]}}}}}, {"name": "main/v/dense_2/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}]}}}}}, {"name": "main/pi/dense/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}]}}}}}, {"name": "main/q2/dense/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "42"}, {"size": "400"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q2/dense_2/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense_1/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}, {"size": "300"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q2/dense_1/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}]}}}}}, {"name": "main/v/dense_2/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense_1/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q2/dense/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense_2/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}, {"size": "4"}]}}}}}, {"name": "main/pi/dense_2/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/v/dense/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "38"}, {"size": "400"}]}}}}}, {"name": "main/pi/dense_3/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}, {"size": "4"}]}}}}}, {"name": "main/v/dense_1/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}]}}}}}, {"name": "main/pi/dense_3/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/mul/x", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/add_1/x", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q1/concat/axis", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}}}, {"name": "main/q1/dense/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "42"}, {"size": "400"}]}}}}}, {"name": "main/v/dense/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}]}}}}}, {"name": "main/q1/dense/bias", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}]}}}}}, {"name": "main/q2/dense_2/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q1/dense_1/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}, {"size": "300"}]}}}}}, {"name": "main/q1/dense_1/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q1/dense_2/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "300"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/q2/dense_1/kernel", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}, {"size": "300"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/v/dense_1/kernel", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "400"}, {"size": "300"}]}}}}}, {"name": "main/q1/dense_2/bias", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense/Relu", "op": "_FusedMatMul", "input": ["Placeholder_1", "main/pi/dense/kernel", "main/pi/dense/bias"], "device": "/device:CPU:0", "attr": {"transpose_b": {"b": false}, "num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "T": {"type": "DT_FLOAT"}, "epsilon": {"f": 0.0}, "transpose_a": {"b": false}}}, {"name": "main/q1/concat", "op": "ConcatV2", "input": ["Placeholder_1", "Placeholder_2", "main/q1/concat/axis"], "attr": {"Tidx": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}, "N": {"i": "2"}}}, {"name": "main/v/dense/Relu", "op": "_FusedMatMul", "input": ["Placeholder_1", "main/v/dense/kernel", "main/v/dense/bias"], "device": "/device:CPU:0", "attr": {"transpose_a": {"b": false}, "transpose_b": {"b": false}, "T": {"type": "DT_FLOAT"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "epsilon": {"f": 0.0}, "num_args": {"i": "1"}}}, {"name": "main/pi/dense_1/Relu", "op": "_FusedMatMul", "input": ["main/pi/dense/Relu", "main/pi/dense_1/kernel", "main/pi/dense_1/bias"], "device": "/device:CPU:0", "attr": {"epsilon": {"f": 0.0}, "transpose_a": {"b": false}, "T": {"type": "DT_FLOAT"}, "transpose_b": {"b": false}, "num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}}}, {"name": "main/q2/dense/Relu", "op": "_FusedMatMul", "input": ["main/q1/concat", "main/q2/dense/kernel", "main/q2/dense/bias"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "transpose_b": {"b": false}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "T": {"type": "DT_FLOAT"}, "epsilon": {"f": 0.0}, "transpose_a": {"b": false}}}, {"name": "main/q1/dense/Relu", "op": "_FusedMatMul", "input": ["main/q1/concat", "main/q1/dense/kernel", "main/q1/dense/bias"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "T": {"type": "DT_FLOAT"}, "transpose_a": {"b": false}, "epsilon": {"f": 0.0}, "transpose_b": {"b": false}}}, {"name": "main/v/dense_1/Relu", "op": "_FusedMatMul", "input": ["main/v/dense/Relu", "main/v/dense_1/kernel", "main/v/dense_1/bias"], "device": "/device:CPU:0", "attr": {"fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "epsilon": {"f": 0.0}, "T": {"type": "DT_FLOAT"}, "transpose_a": {"b": false}, "transpose_b": {"b": false}, "num_args": {"i": "1"}}}, {"name": "main/pi/dense_2/BiasAdd", "op": "_FusedMatMul", "input": ["main/pi/dense_1/Relu", "main/pi/dense_2/kernel", "main/pi/dense_2/bias"], "device": "/device:CPU:0", "attr": {"fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "epsilon": {"f": 0.0}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}, "transpose_a": {"b": false}, "transpose_b": {"b": false}}}, {"name": "main/pi/dense_3/BiasAdd", "op": "_FusedMatMul", "input": ["main/pi/dense_1/Relu", "main/pi/dense_3/kernel", "main/pi/dense_3/bias"], "device": "/device:CPU:0", "attr": {"transpose_b": {"b": false}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "transpose_a": {"b": false}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}, "epsilon": {"f": 0.0}}}, {"name": "main/q2/dense_1/Relu", "op": "_FusedMatMul", "input": ["main/q2/dense/Relu", "main/q2/dense_1/kernel", "main/q2/dense_1/bias"], "device": "/device:CPU:0", "attr": {"fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "epsilon": {"f": 0.0}, "T": {"type": "DT_FLOAT"}, "transpose_a": {"b": false}, "num_args": {"i": "1"}, "transpose_b": {"b": false}}}, {"name": "main/q1/dense_1/Relu", "op": "_FusedMatMul", "input": ["main/q1/dense/Relu", "main/q1/dense_1/kernel", "main/q1/dense_1/bias"], "device": "/device:CPU:0", "attr": {"transpose_b": {"b": false}, "num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA==", "UmVsdQ=="]}}, "transpose_a": {"b": false}, "epsilon": {"f": 0.0}, "T": {"type": "DT_FLOAT"}}}, {"name": "main/v/dense_2/BiasAdd", "op": "_FusedMatMul", "input": ["main/v/dense_1/Relu", "main/v/dense_2/kernel", "main/v/dense_2/bias"], "device": "/device:CPU:0", "attr": {"epsilon": {"f": 0.0}, "num_args": {"i": "1"}, "transpose_a": {"b": false}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "transpose_b": {"b": false}, "T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/Shape", "op": "Shape", "input": ["main/pi/dense_2/BiasAdd"], "attr": {"out_type": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/Tanh", "op": "Tanh", "input": ["main/pi/dense_2/BiasAdd"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/dense_3/Tanh", "op": "Tanh", "input": ["main/pi/dense_3/BiasAdd"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/q2/dense_2/BiasAdd", "op": "_FusedMatMul", "input": ["main/q2/dense_1/Relu", "main/q2/dense_2/kernel", "main/q2/dense_2/bias"], "device": "/device:CPU:0", "attr": {"transpose_a": {"b": false}, "num_args": {"i": "1"}, "transpose_b": {"b": false}, "T": {"type": "DT_FLOAT"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "epsilon": {"f": 0.0}}}, {"name": "main/q1/dense_2/BiasAdd", "op": "_FusedMatMul", "input": ["main/q1/dense_1/Relu", "main/q1/dense_2/kernel", "main/q1/dense_2/bias"], "device": "/device:CPU:0", "attr": {"transpose_b": {"b": false}, "transpose_a": {"b": false}, "epsilon": {"f": 0.0}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}}}, {"name": "main/v/Squeeze", "op": "Squeeze", "input": ["main/v/dense_2/BiasAdd"], "attr": {"T": {"type": "DT_FLOAT"}, "squeeze_dims": {"list": {"i": ["1"]}}}}, {"name": "main/pi/random_normal/RandomStandardNormal", "op": "RandomStandardNormal", "input": ["main/pi/Shape"], "attr": {"seed2": {"i": "0"}, "T": {"type": "DT_INT32"}, "seed": {"i": "0"}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "main/mul", "op": "Identity", "input": ["main/pi/Tanh"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/add", "op": "AddV2", "input": ["main/pi/add/y", "main/pi/dense_3/Tanh"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/q2/Squeeze", "op": "Squeeze", "input": ["main/q2/dense_2/BiasAdd"], "attr": {"squeeze_dims": {"list": {"i": ["1"]}}, "T": {"type": "DT_FLOAT"}}}, {"name": "main/q1/Squeeze", "op": "Squeeze", "input": ["main/q1/dense_2/BiasAdd"], "attr": {"squeeze_dims": {"list": {"i": ["1"]}}, "T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/mul", "op": "Mul", "input": ["main/pi/add", "main/pi/mul/x"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/add_1", "op": "AddV2", "input": ["main/pi/add_1/x", "main/pi/mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/Exp", "op": "Exp", "input": ["main/pi/add_1"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/mul_1", "op": "Mul", "input": ["main/pi/Exp", "main/pi/random_normal/RandomStandardNormal"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/add_2", "op": "AddV2", "input": ["main/pi/dense_2/BiasAdd", "main/pi/mul_1"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/pi/Tanh_1", "op": "Tanh", "input": ["main/pi/add_2"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "main/mul_1", "op": "Identity", "input": ["main/pi/Tanh_1"], "attr": {"T": {"type": "DT_FLOAT"}}}], "library": {}, "versions": {}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "main/pi/dense/kernel", "shape": [38, 400], "dtype": "float32"}, {"name": "main/v/dense_2/bias", "shape": [1], "dtype": "float32"}, {"name": "main/pi/dense/bias", "shape": [400], "dtype": "float32"}, {"name": "main/q2/dense/kernel", "shape": [42, 400], "dtype": "float32"}, {"name": "main/q2/dense_2/bias", "shape": [1], "dtype": "float32"}, {"name": "main/pi/dense_1/kernel", "shape": [400, 300], "dtype": "float32"}, {"name": "main/q2/dense_1/bias", "shape": [300], "dtype": "float32"}, {"name": "main/v/dense_2/kernel", "shape": [300, 1], "dtype": "float32"}, {"name": "main/pi/dense_1/bias", "shape": [300], "dtype": "float32"}, {"name": "main/q2/dense/bias", "shape": [400], "dtype": "float32"}, {"name": "main/pi/dense_2/kernel", "shape": [300, 4], "dtype": "float32"}, {"name": "main/pi/dense_2/bias", "shape": [4], "dtype": "float32"}, {"name": "main/v/dense/kernel", "shape": [38, 400], "dtype": "float32"}, {"name": "main/pi/dense_3/kernel", "shape": [300, 4], "dtype": "float32"}, {"name": "main/v/dense_1/bias", "shape": [300], "dtype": "float32"}, {"name": "main/pi/dense_3/bias", "shape": [4], "dtype": "float32"}, {"name": "main/pi/add/y", "shape": [], "dtype": "float32"}, {"name": "main/pi/mul/x", "shape": [], "dtype": "float32"}, {"name": "main/pi/add_1/x", "shape": [], "dtype": "float32"}, {"name": "main/q1/concat/axis", "shape": [], "dtype": "int32"}, {"name": "main/q1/dense/kernel", "shape": [42, 400], "dtype": "float32"}, {"name": "main/v/dense/bias", "shape": [400], "dtype": "float32"}, {"name": "main/q1/dense/bias", "shape": [400], "dtype": "float32"}, {"name": "main/q2/dense_2/kernel", "shape": [300, 1], "dtype": "float32"}, {"name": "main/q1/dense_1/kernel", "shape": [400, 300], "dtype": "float32"}, {"name": "main/q1/dense_1/bias", "shape": [300], "dtype": "float32"}, {"name": "main/q1/dense_2/kernel", "shape": [300, 1], "dtype": "float32"}, {"name": "main/q2/dense_1/kernel", "shape": [400, 300], "dtype": "float32"}, {"name": "main/v/dense_1/kernel", "shape": [400, 300], "dtype": "float32"}, {"name": "main/q1/dense_2/bias", "shape": [1], "dtype": "float32"}]}]}

ta-config.json

@@ -0,0 +1 @@
+{"seed": 44, "name": "ALP-GMM_SAC_fish_s44"}