application of reinforcement learning (RL) for the creation of intelligent agents that can manage virtual companies in SIMBA. This …

reinforcement learning (RL) based Q-learning algorithm (QLA) for the problem. In addition, we build a discrete-event simulation …

carbon-constrained restructured electricity markets. Our model is solved using a reinforcement learning approach, which takes …

Reinforcement learning and stochastic fictitious play are apparent rivals as models of human learning. The embody quite … reinforcement learning with experimentation can both be written as a perturbed form of the evolutionary replicator dynamics … stochastic fictitious play implies local stability under perturbed reinforcement learning. The main identifiable difference …