Learning from Experience

Learning in Acting

Improve skills through practice and feedback.

Approaches

Learning from Demonstrations

• Programming by Demonstration
• Imitation Learning
• Learning from Observation

Learning from Execution

• Reinforcement Learning: Trial and error
• Learning from Mistakes: Analyze and correct failures

Skill Refinement

def improve_skill(policy, experience):
    # Update policy based on outcomes
    for state, action, reward in experience:
        policy[state][action] += alpha * reward
    return policy

Model Learning

Learn environment dynamics:

1. Collect state-action-state transitions
2. Fit transition model \(P(s'|s,a)\)
3. Use model for planning

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