Kashish Gupta

Exploiting Abstract Symmetries in Reinforcement Learning for Complex Environments

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…