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Self-learning virtual organisms in a physics simulator: on the optimal resolution of their visual system, the architecture of the nervous system and the computational complexity of the problem. [PDF]
Zenin MS, Devyaterikov AP, Palyanov AY.
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Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]
Alexander A +4 more
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SwarmRL: building the future of smart active systems. [PDF]
Tovey S +8 more
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Deep reinforcement learning for scheduling semiconductor cluster tools in varying configurations. [PDF]
Choi J, Kim SB.
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How Affective Relationships and Classroom Norms Shape Perceptions of Aggressor, Victim, and Defender Roles. [PDF]
Lintner T +3 more
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International journal of transport economics, 2021
The increase of equity joint ventures in the terminal container industry is an established phenomenon, which has been extensively analysed in the port management literature. However, studies have mainly focused on the expansion strategies of international terminal operators and equity venture networks at global level, neglecting their effects on port ...
De Martino, M, Giordano, G
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The increase of equity joint ventures in the terminal container industry is an established phenomenon, which has been extensively analysed in the port management literature. However, studies have mainly focused on the expansion strategies of international terminal operators and equity venture networks at global level, neglecting their effects on port ...
De Martino, M, Giordano, G
openaire +3 more sources
Stochastic actor-oriented models for network change
The Journal of Mathematical Sociology, 1996A class of models is proposed for longitudinal network data. These models are along the lines of methodological individualism: actors use heuristics to try to achieve their individual goals, subject to constraints. The current network structure is among these constraints.
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