Results 181 to 190 of about 5,876,040 (331)

Discounted Reinforcement Learning Does Not Scale [PDF]

, 1997
Matthew A. McDonald, Philip Hingston
openalex   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

Parallel recombinative reinforcement learning (Extended abstract) [PDF]

, 1995
Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis   +2 more
openalex   +1 more source

Clinical Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review explores the exciting field of soft robots for medical applications. It delves into the critical challenges facing their development, including material selection, cytotoxicity, and locomotion limitations. The review then examines promising avenues for overcoming these hurdles and achieving clinical translation.
Kailas Mahipal Malappuram, Kaushik Chatterjee, Shervanthi Homer‐Vanniasinkam, Amit Nain   +3 more
wiley   +1 more source

Multi-Agent Reinforcement Learning in Games: Research and Applications. [PDF]

Biomimetics (Basel)
Li H, Yang P, Liu W, Yan S, Zhang X, Zhu D.   +5 more
europepmc   +1 more source

Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation

Advanced Robotics Research, EarlyView.
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu, Jingzong Zhou, Caio Mucchiani, Konstantinos Karydis   +3 more
wiley   +1 more source

Homonyms and context in signalling game with reinforcement learning. [PDF]

PLoS One
Lipowska D, Lipowski A, Ferreira AL.
europepmc   +1 more source

Deep Reinforcement Learning: A Brief Survey

IEEE Signal Processing Magazine, 2017
Kai Arulkumaran, M. Deisenroth, Miles Brundage, A. Bharath   +3 more
semanticscholar   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture

Smart Agricultural Technology
Digital Twins have gained attention in various industries by creating virtual replicas of real-world systems through data collection and machine learning.
Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer   +3 more
doaj