We study the equilibrium behavior of informed traders interacting with market scoring rule (MSR) market makers. One attractive feature of MSR is that it is myopically incentive com...
Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M...
Electronic institutions (EIs) define the rules of the game in agent societies by fixing what agents are permitted and forbidden to do and under what circumstances. Autonomic Elec...
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...