Nilaksh Singh

Task and Domain Adaptive Reinforcement Learning for Robot Control

Deep reinforcement learning (DRL) has shown remarkable success in simulation domains, yet its application in designing robot controllers remains limited, due to its singletask orientation and insufficient adaptability to environmental changes. To overcome these limitations, we present a novel adapti…