The problem addressed in the present paper is the design of a controller based on an
evolutionary neural network for autonomous flight in quadrotor systems. The controller's …

In a complex and dynamic environment, it becomes difficult to solve problems with a single
policy updating mode. Although evolutionary reinforcement learning partially addresses this …

Counterfactual regret minimization (CFR) is a popular method for finding approximate Nash
equilibrium in imperfect-information games (IIG). However, CFR based methods for the IIG …

In zero-sum games, the optimal strategy is well-defined by the Nash equilibrium. However, it
is overly conservative when playing against suboptimal opponents and it can not exploit …

Games have always been a driver for innovation in Artificial Intelligence technology.
Evolving neural networks through evolutionary algorithms, also known as neuroevolution …

This research investigates the use of Reinforcement Learning (RL) to construct the Dynamic
Asset Allocation (DAA) strategy for an insurer. More specifically, we implement the Proximal …