Results 31 to 40 of about 8,669,620 (261)
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Autonomous underwater vehicle (AUV) plays an increasingly important role in ocean exploration. Existing AUVs are usually not fully autonomous and generally limited to pre-planning or pre-programming tasks.
Qilei Zhang +4 more
doaj +1 more source
A series-parallel hybrid banana-harvesting robot was previously developed to pick bananas, with inverse kinematics intractable to an address. This paper investigates a deep reinforcement learning-based inverse kinematics solution to guide the banana ...
Guichao Lin +5 more
doaj +1 more source
Logic + Reinforcement Learning + Deep Learning: A Survey [PDF]
Reinforcement learning has made significant strides in recent years, including in the development of Atari and Go-playing agents. It is now widely acknowledged that logical syntax adds considerable flexibility in both the modelling of domains as well as ...
Belle, Vaishak; id_orcid +3 more
core +1 more source
Body Language Analysis Based on Deep Reinforcement Learning [PDF]
Deep learning has become one of the core technologies in current artificial intelligence research and application and has triggered revolutionary breakthroughs in many fields, demonstrating powerful learning ability and creativity.
Lu Boyang
doaj +1 more source
Nowadays, mobile robots are being widely employed in various settings, including factories, homes, and everyday tasks. Achieving successful implementation of autonomous robot movement largely depends on effective route planning.
Jieren Tan
doaj +1 more source
Routing algorithms as tools for integrating social distancing with emergency evacuation
One of the lessons from the COVID-19 pandemic is the importance of social distancing, even in challenging circumstances such as pre-hurricane evacuation. To explore the implications of integrating social distancing with evacuation operations, we describe
Yi-Lin Tsai +3 more
doaj +1 more source
openDevelopment and training of an artificial intelligent agent through Reinforcement Learning, Deep Learning and Game Theory, able to play the game of Briscola.Development and training of an artificial intelligent agent through Reinforcement Learning ...
SINIGAGLIA, ALBERTO
core
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Cyber‐attacks are gradually becoming more sophisticated and highly frequent nowadays, and the significance of network intrusion detection systems has become more pronounced.
Wanrong Yang +3 more
doaj +1 more source
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks [PDF]
In search of a simple baseline for Deep Reinforcement Learning in locomotion tasks, we propose a model-free open-loop strategy. By leveraging prior knowledge and the elegance of simple oscillators to generate periodic joint motions, it achieves ...
Raffin, Antonin +19 more
core +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source

