This paper analyzes the entrants to the 2007 TAC Market Design Game. We present a classification of the entries to the competition, and use this classification to compare these ent...
Jinzhong Niu, Kai Cai, Simon Parsons, Peter McBurn...
For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. Th...
Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Ni...
Abstract. In agent-based computational economics, many different trading strategies have been proposed. Given the kinds of market that such trading strategies are employed in, it i...
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...