4 papers
Reinforcement learning with timed constraints for robotics motion planning
Zhaoan Wang, Junchao Li, Mahdi Mohammad +1
Robotic systems operating in dynamic and uncertain environments increasingly require planners that satisfy complex task sequences while adhering to strict temporal constraints. Met…
Learning-based agricultural management in partially observable environments subject to climate variability
Zhaoan Wang, Shaoping Xiao, Junchao Li +1
Agricultural management, with a particular focus on fertilization strategies, holds a central role in shaping crop yield, economic profitability, and environmental sustainability.…
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
Junchao Li, Mingyu Cai, Zhen Kan +1
Motion planning of autonomous agents in partially known environments with incomplete information is a challenging problem, particularly for complex tasks. This paper proposes a mod…
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning
Yue Zhu, Mingyu Cai, Chris Schwarz +2
Intelligent traffic lights in smart cities can optimally reduce traffic congestion. In this study, we employ reinforcement learning to train the control agent of a traffic light on…