population of poker playing agents is instantiated to play the preflop portion of Texas Hold'em poker, with learning and strategy … revision occurring over the course of the simulation. This paper aims to investigate the influence of learning dynamics on … dominant strategy when loss aversion is included in the learning model, not when winning and magnitude of win are of the only …

The black box method was developed as an "asocial control" to allow for payoff-based learning while eliminating social … participants can unwittingly affect the learning of other participants. Here, we test a solution to this problem in a range of … no significant differences in rates of learning between the original and the computerised black box, therefore either …

How to sample training/validation data is an important question for machine learning models, especially when the … learning aided Monte Carlo trees search (MCTS). We apply our method to a car-following modeling problem, a complicated scenario …

Network systems and variations of the Q-learning algorithm. From a practical point of view, sufficient samples for training … Profit and Loss formulation of hedging, providing for a more accurate and sample efficient approach than Q-learning and …

We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from … twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …

A number of learning models have been suggested to analyze the repeated interaction of boundedly rational agents … uncertainty in their reward stream, in addition to the expected value of the future rewards. Learning in oligopoly models for the … case of risk-averse agents has received much less attention. In this paper, we present a novel learning model that extends …

We build a model studying the effect of an economy's potential for social learning on the adoption of innovations of … qualitative and quantitative features of the learning environment affect equilibrium adoption dynamics, welfare, and the speed of … learning. Based on this, we show how differences in the learning environment translate into observable differences in adoption …

via social learning. Using an online social dilemma experiment, we find evidence that participants' contributions were … learning strategies employed within the experiment, but that this cooperative propensity could be reduced through selection …