Value functions are a central component of deep reinforcement learning (RL). These
functions, parameterized by neural networks, are trained using a mean squared error …

Autonomous robots operating in complex and dynamic real-world scenarios must exhibit fast
and reactive behaviors to adapt to environment changes, and learn to improve their …