Online calibrated forecasts: Memory efficiency versus universality for learning in games

Keyphrases

• Memory Efficiency 100%
• Game-based Learning 100%
• Track Prediction 100%
• Nash Equilibrium 40%
• Best Response 40%
• Forecasting Scheme 40%
• Smooth Fictitious Play 40%
• Large Classes 20%
• Learning Process 20%
• Internal State 20%
• Learning Algorithm 20%
• Hidden States 20%
• Memory Requirements 20%
• Binary Outcome 20%
• Strategic Games 20%
• Reduced Memory 20%
• Game Matrix 20%
• Regret Matching 20%
• Actual Play 20%

Computer Science

• Nash Equilibrium 100%
• Learning Process 50%
• Learning Algorithm 50%
• Memory Requirement 50%
• Internal State 50%

Economics, Econometrics and Finance

• Nash Equilibrium 100%
• Learning Process 50%