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README.md

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+---
+tags:
+- deep-reinforcement-learning
+- reinforcement-learning
+- ml-agents
+---
+# PPO Agent playing **Pyramids**
+This is a trained model of a **PPO** agent playing **Pyramids** using Unity ML-Agents with Curiosity (RND).
+
+## Usage
+You can play and watch this model directly in your browser:
+https://huggingface.co/spaces/unity/ML-Agents-Pyramids

configuration.yaml

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+behaviors:
+  Pyramids:
+    trainer_type: ppo
+    hyperparameters:
+      batch_size: 128
+      buffer_size: 2048
+      learning_rate: 0.0003
+      beta: 0.005
+      epsilon: 0.2
+      lambd: 0.95
+      num_epoch: 3
+      learning_rate_schedule: linear
+    network_settings:
+      normalize: false
+      hidden_units: 512
+      num_layers: 2
+      vis_encode_type: simple
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+      curiosity:
+        gamma: 0.99
+        strength: 0.02
+        network_settings:
+          hidden_units: 256
+        learning_rate: 0.0003
+    keep_checkpoints: 5
+    max_steps: 1000000
+    time_horizon: 128
+    summary_freq: 10000