This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

Abstract In Value-based and Actor-Critic reinforcement learning (RL) methods, both
inaccuracy and instability of value estimation will detrimentally affect their performance …

Sample efficiency is one of the most critical issues for online reinforcement learning (RL).
Existing methods achieve higher sample efficiency by adopting model-based methods, Q …

Human tactile perception enables rapid assessment of deformable objects and the
application of appropriate force to prevent slip or excessive deformation. However, this task …

For actor-critic methods in reinforcement learning, it is vital to learn a useful critic such that
the actor can be guided efficiently and properly. Previous methods mainly seek to estimate …