Watch and guide an AI learning to master platform jumping!
The AI will learn from each attempt and improve over time.
Input Nodes: -
Hidden Nodes: -
Output Nodes: -
Learning Rate: -
Memory Size: -
Jump Memory Size: -
Success Rate: -
Total Moves: -
Successful Moves: -
P(action_i) = exp(x_i) / Σ exp(x_j)
This formula normalizes network outputs into probabilities for action selection
mutation_strength = (1 - learning_progress) * 1.5
Adjusts how much the AI experiments based on its current performance
progress = successful_moves / total_moves
Measures overall success rate to guide learning adjustments