One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
: This paper gives a short description of a working prototype of an intelligent background knowledge broker as an enhancement module of the Web base training system GENTLE [Maurer ...
Learning “the wiki way”, learning through wikis is a form of selfregulated learning that is independent of formal learning settings and takes place in a community of knowledge...
Joachim Kimmerle, Johannes Moskaliuk, Ulrike Cress
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...