Bayesian learners can drive out no-regret learners despite logarithmic regret in stochastic markets, but no-regret is more robust; hybrids are proposed to combine strengths.
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Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners
Bayesian learners can drive out no-regret learners despite logarithmic regret in stochastic markets, but no-regret is more robust; hybrids are proposed to combine strengths.