learning. One way to overcome these limitations is to augment real market data with agent based artificial market simulation …Prediction of financial market data with deep learning models has achieved some level of recent success. However … this study we propose a framework for training deep reinforcement learning models in agent based artificial price …

learning efficiency and posits several summative hypotheses. The simulation results validate these hypotheses, and we discuss …Under the bounded rationality assumption, a principal rarely provides an optimal contract to an agent. Learning from … others is one way to improve such a contract. This paper studies the efficiency of social network learning (SNL) in the …