The current study compared the differential effects of choice and no-choice reinforcement conditions on skill acquisition. In addition, we assessed preference for choice-making opportunities with 3 children with autism, using a modified concurrent-chains procedure. We replicated the experiment with 2 participants. The results indicated that choice-making opportunities increased treatment effica...

Stereotypical behavior maintained by automatic reinforcement often does not result in harm but may be undesirable in some situations. In the current investigation, participants were 2 individuals who engaged in nonharmful stereotypical responses shown in an analogue functional analysis to be insensitive to social contingencies. After bringing these responses under stimulus control using differe...

We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the second on Q-learning for stochastic shortest path games. Convergence is proved using the ODE (Ordinary Differential Equation) method. We further discuss the case where not all the actions are played by the opponent with comparab...

One child with developmental disabilities was taught to mand for attention by saying "excuse me." Treatment effects were extended to multiple training contexts by teaching the participant to attend to naturally occurring discriminative stimuli through differential reinforcement of communication during periods of the experimenter's nonbusy activities (e.g., reading a magazine). Results are discu...

The present experiment extended and replicated the use of functional analysis and a peer-mediated intervention to decrease disruptive behavior displayed by children diagnosed with attention deficit hyperactivity disorder in an afterschool program. After determining that the participants displayed off-task behavior maintained by peer attention via a functional analysis, peer-implemented differen...

In this theoretical contribution, we provide mathematical proof that two of the most important classes of network learning-correlation-based differential Hebbian learning and reward-based temporal difference learning-are asymptotically equivalent when timing the learning with a modulatory signal. This opens the opportunity to consistently reformulate most of the abstract reinforcement learning ...

Social skills deficits are a defining feature of individuals diagnosed with autism and other pervasive developmental disorders (PDD), which can impair functioning and put the individual at higher risk for developing problem behavior (e.g., self-injury, aggression). In the current study, an adolescent with PDD displayed inappropriate social behavior (inappropriate comments, social withdrawal, an...

This study investigated the effectiveness of response cost and differential reinforcement of other behavior (DRO) in reducing the disruptive behaviors of 25 children in a preschool classroom. Using an alternating treatments design, disruptive behavior was reduced when the participants earned tokens for the absence of disruptive behavior (DRO) or lost tokens for the occurrence of disruptive beha...

We introduce the differential efficiency algorithm, which partitions a perceptive space during unsupervised learning into categories and uses them to solve goal-planning and classification problems. This algorithm is inspired by a biological model of the cortex proposing the cortical column as an elementary unit. We validate the generality of this approach by testing it on four problems with co...