[HTML][HTML] Advanced Power Converters and Learning in Diverse Robotic Innovation: A Review
R Singh, VSB Kurukuru, MA Khan - Energies, 2023 - mdpi.com
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 …
management systems and learning techniques in the field of robotics. It identifies the critical …
Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
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 …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
Controlling estimation error in reinforcement learning via Reinforced Operation
Abstract In Value-based and Actor-Critic reinforcement learning (RL) methods, both
inaccuracy and instability of value estimation will detrimentally affect their performance …
inaccuracy and instability of value estimation will detrimentally affect their performance …
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse
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 …
Existing methods achieve higher sample efficiency by adopting model-based methods, Q …
T-TD3: A Reinforcement Learning Framework for Stable Grasping of Deformable Objects Using Tactile Prior
Y Zhou, Y Jin, P Lu, S Jiang, Z Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Human tactile perception enables rapid assessment of deformable objects and the
application of appropriate force to prevent slip or excessive deformation. However, this task …
application of appropriate force to prevent slip or excessive deformation. However, this task …
Prag: Periodic regularized action gradient for efficient continuous control
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 …
the actor can be guided efficiently and properly. Previous methods mainly seek to estimate …