Erratum to: Ignoring critique, attacking the critic

A critic-critic architecture to combine reinforcement and supervised learnings

In real life, learning is greatly speeded-up by the intervention of a teacher who gives examples, or shows, how to perform a certain task. In all this abstract, we let apart structural simpli cations of the problem by the designer which to not deal explicitely with learning. The intervention of the teacher can be realized in di erent ways: verbal explanation, demonstration, guidance, shaping th...

Some Solutions to the Ignoring Problem

The ignoring problem refers to the fact that some actions may be infinitely postponed by a state space search algorithm that makes use of partial order reduction (POR). The prevention of this phenomenon is mandatory if one wants to verify more elaborate properties than the deadlock freeness, e.g., safety or liveness properties. We present in this work some solutions to this problem. In order to...

Actor-Critic Models of Animal Control - A critique of reinforcement learning

In this article we will compare traditional reinforcement learning techniques with a novel correlation based algorithm. We will discuss several problems which occur in reward-based reinforcement learning and outline alternative solutions. An example of a robot control task shown at the end will support our claims.

Erratum to: Armentum: a hybrid direct search optimization methodology

In the original publication of this article unfortunately the co-authors were omitted. The two co-authors are displayed now.

Erratum