A unified view on multi-class support vector machines (SVMs) is presented, covering most
prominent variants including the one-vs-all approach and the algorithms proposed by …

Cooperation is the foundation of ecosystems and the human society, and the reinforcement
learning provides crucial insight into the mechanism for its emergence. However, most …

In this paper, we present a new framework for large scale online kernel learning, making
kernel methods efficient and scalable for large-scale online learning applications. Unlike the …

This paper investigates multiagent reinforcement learning (MARL) in a general-sum game
where the payoffs' structure is such that the agents are required to exploit each other in a …

We have proposed the utility-based Q-learning concept that supposes an agent internally
has an emotional mechanism that derives subjective utilities from objective rewards and the …

Abstract This paper investigates Multiagent Reinforcement Learning (MARL) in a general-
sum game where the payoffs' structure is such that the agents are required to exploit each …

The evolution of strategies in n-choice social dilemma game with punishment is studied on
spatial environment. This paper presents and investigates the application of co-evolutionary …

This work considers a stateless Q-learning agent in iterated Prisoner's Dilemma (PD). We
have already given a condition of PD payoffs and Q-learning parameters that helps stateless …

The evolution of strategies in n-choice iterated prisoner's dilemma game is studied on
spatial environment. This paper presents and investigates the application of co-evolutionary …

Understanding the effects of punishment in multiplayer spatial games, however, is a
formidable challenge. In this paper, we present a multiplayer evolutionary game model in …