Related references
Note: Only part of the references are listed.Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip *
Nianyin Zeng et al.
NEUROCOMPUTING (2021)
PALO bounds for reinforcement learning in partially observable stochastic games
Roi Ceren et al.
NEUROCOMPUTING (2021)
Reducing human efforts in video segmentation annotation with reinforcement learning
Viktor Varga et al.
NEUROCOMPUTING (2020)
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments
Weibo Liu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2018)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
Path planning for intelligent robot based on switching local evolutionary PSO algorithm
Nianyin Zeng et al.
ASSEMBLY AUTOMATION (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Temporally extended features in model-based reinforcement learning with partial observability
Robert Lieck et al.
NEUROCOMPUTING (2016)
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Marc Peter Deisenroth et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Aleatory or epistemic? Does it matter?
Armen Der Kiureghian et al.
STRUCTURAL SAFETY (2009)
Share Paper
