The coordinated responding of pairs of rats that occur in close temporal proximity can be conceived as a unit of cooperation which has been shown to be modulated by reinforcement schedules, similar to individual responding. ...

This dissertation is a rigorous investigation that studies two important essential materials in construction: Polymer Fiber Reinforced (FRP) and Ultra-High-Performance Fiber Reinforced Concrete (UHPFRC), and their applications ...

In this paper, decentralized reinforcement learning is applied to a control problem with a multidimensional action space. We propose a decentralized reinforcement learning architecture for a mobile robot, where the individual ...

The combined behavior of two or more individuals is subject to selection by the consequences of the environment, in the same way as individual operant behavior. Previous studies used an interdependence procedure to investigate ...

AbstractThis work aims to study the mechanical effects of reinforcement's corrosion in hyperstatic reinforced concrete beams. The focus is the probabilistic determination of individual failure scenarios change as well as ...

A multi-agent methodology is proposed for Decentralized Reinforcement Learning (DRL) of individual behaviors in problems where multi-dimensional action spaces are involved. When using this methodology, sub-tasks are learned ...

Reintroduction or reinforcement (RorR) of wild populations is a common conservation strategy. Many conservation projects involve the release of individuals of poorly studied species. This may lead to inefficient results ...

Many Reinforcement Learning (RL) real-world applications have multi-dimensional action spaces which suffer from the combinatorial explosion of complexity. Then, it may turn infeasible to implement Centralized RL (CRL) ...

Previous quantitative models of choice in a self?control paradigm (choice between a larger, more?delayed reinforcer and a smaller, less?delayed reinforcer) have not described individual differences. Two experiments are ...