Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
The software architecture of a distributed program can be represented by a hierarchical composition of subsystems, with interacting processes at the leaves of the hierarchy. Compo...
Shing-Chi Cheung, Dimitra Giannakopoulou, Jeff Kra...
This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
We report on the implementation of a software infrastructure for preservation actions, carried out in the context of the European Integrated Project Planets – the Planets Interop...
Ross King, Rainer Schmidt, Andrew N. Jackson, Carl...
We examine the issues that arise in extending an estimatedregression (ER) planner to reason about autonomous processes that run and have continuous and discrete effects without th...