Exploiting Abstract Symmetries in Reinforcement Learning for Complex Environments
Kashish Gupta,Homayoun Najjaran,Kashish Gupta,Homayoun Najjaran
Reinforcement Learning is rapidly establishing itself as the foremost choice for optimization of sequential autonomous decision-making problems. Encumbered by its sample inefficiency, the extension of the field to large state space and dynamic environments remains an open problem. We present a novel concept that exploits abstract spatial symmetry in complex environments for extending the skills of...
