Decentralized Learning in Living Temporal Games: Convergence, Impossibility, and Memory Bounds

Puntos clave

• This research investigates the convergence behavior and limitations of decentralized learning in living temporal games.
• Theoretical framework was established to analyze convergence aspects of decentralized learning.
• Impossibility results were derived to outline fundamental constraints on learning outcomes.
• Memory bounds were evaluated to understand their impact on learning efficacy.
• Demonstrated that convergence cannot always be achieved under certain conditions of decentralized learning.
• Identified specific scenarios where impossibility results apply, highlighting limitations in learning capabilities.
• Established memory bounds that influence the efficiency and outcome of learning in temporal games.