Upload new model run

models/ConnectFour-v3/AlphaGo/00935e6480cc4617bd15c3ecdc41ae7a/README.md

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+---
+model-index:
+- name: mock
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: mock
+      type: mock
+    metrics:
+    - type: mean_reward
+      value: mock +/- mock
+      name: mean_reward
+      verified: false
+tags:
+- reinforcement-learning
+- connect-four
+- pytorch
+- custom-implementation
+- generic
+run_info:
+  litrl:
+    version: !!python/module:litrl._version ''
+    repo_url: git@github.com:c-gohlke/LitRL.git
+    commit_hash: 0e0c7255ea45c86b48cae3ca17f6863ab01fa4b8
+---

models/ConnectFour-v3/AlphaGo/00935e6480cc4617bd15c3ecdc41ae7a/model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f95e00e7158ed52891781a8556eac09fe4d0de516491bd8fbd59c15ff4823575
+size 130123

models/ConnectFour-v3/AlphaGo/00935e6480cc4617bd15c3ecdc41ae7a/model_config.yaml

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+root: !!python/object:litrl.schema.model.ModelConfigSchema
+  buffer: !!python/object:litrl.schema.model.BufferSchema
+    batch_size: 256
+    max_size: 1000000
+  env_fabric: !!python/object:litrl.schema.env.EnvSchema
+    _target_: litrl.make_multiagent
+    id: ConnectFour-v3
+    opponent: null
+    val: null
+  env_id: ConnectFour-v3
+  epsilon: 0.0
+  gamma: 0.99
+  hidden_size: 64
+  lr: 0.0001
+  n_hidden_layers: 2
+  seed: 123
+  target_entropy: null
+  tau: 0.005
+  val_env_fabric: !!python/object:litrl.schema.env.EnvSchema
+    _target_: litrl.make_multiagent
+    id: ConnectFour-v3
+    opponent: null
+    val: true
+  warm_start_steps: 10000

models/ConnectFour-v3/AlphaGo/results.yaml

@@ -1,2 +1,3 @@
+00935e6480cc4617bd15c3ecdc41ae7a: 1.0
 b4eb24c6ea5148148cf5e6f93af214fc: 1.0
 c41c930321fa46aaa184a10a086755d7: 1.0