Highly Influenced

@article{Hiraoka2007ParallelRL, title={Parallel reinforcement learning for weighted multi-criteria model with adaptive margin}, author={Kazuyuki Hiraoka and Manabu Yoshida and Taketoshi Mishima}, journal={Cognitive Neurodynamics}, year={2007}, volume={3}, pages={17-24} }

- Published 2007 in Cognitive Neurodynamics
DOI:10.1007/s11571-008-9066-9

Reinforcement learning (RL) for a linear family of tasks is described in this paper. The key of our discussion is nonlinearity of the optimal solution even if the task family is linear; we cannot obtain the optimal policy using a naive approach. Although an algorithm exists for calculating the equivalent result to Q-learning for each task simultaneously, it presents the problem of explosion of set sizes. We therefore introduce adaptive margins to overcome this difficulty.