, based on inductive, competitive reinforcement-learning behaviour of atomistic heterogeneous agents in highly uncertain …

, based on inductive, competitive reinforcement-learning behaviour of atomistic heterogeneous agents in highly uncertain …

, whereas reinforcement learning is unstable in almost all cases. I also find that in certain games, the stability of …

, whereas reinforcement learning is unstable in almost all cases. I also find that in certain games, the stability of …

We introduce a two-player model of reinforcement learning with memory. Past actions of an iterated game are stored in a …

artificial neural networks or, as an alternative, reinforcement learning techniques. The proposed structure of the neural … networks is self-developed via a trial and error process: the reinforcement learning model is built upon the Swarm-like agent … control implementation of the reinforcement learning model has also been developed and placed on-line as an applet, using …