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README.md

@@ -4,7 +4,7 @@ emoji: 🧠
 colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 5.9.1
 app_file: app.py
 pinned: false
 tags:
@@ -12,25 +12,8 @@ tags:
   - reinforcement-learning
   - planning
   - ai-education
-  - cognitive-architecture
 ---
 
 # World Model Demo
 
-Interactive visualization of model-based reinforcement learning concepts, inspired by architectures like MuZero and Dreamer.
-
-## Features
-
-- **Mental Simulation**: Watch the AI plan ahead by imagining future states
-- **Tree Search Visualization**: See how different action sequences are evaluated  
-- **Configurable Environment**: Adjust grid size and obstacles
-- **Step-by-Step Mode**: Understand each phase of the planning process
-
-## How It Works
-
-1. **Observe**: Agent perceives current grid state
-2. **Imagine**: World model predicts outcomes of possible actions
-3. **Plan**: Tree search evaluates action sequences
-4. **Act**: Best action is selected and executed
-
-This demonstrates key concepts from model-based RL without requiring actual neural networks.
+Interactive visualization of model-based reinforcement learning concepts.

requirements.txt

@@ -1 +1 @@
-# Dependencies managed by sdk_version in README.md
+