A reinforcement learning approach to improve the argument selection effectiveness in argumentation-based negotiation

► We present an approach to improve the argument selection. ► We identify each element of the RL model in the context of the argument selection. ► Our approach allows the agent to improve the argument effectiveness as the agent's experience increases. ► We tested this approach in a multiagent system, in a stationary as well as in a dynamic environment.