Agents
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Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
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- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.72)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
Technology:
- Information Technology > Game Theory (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Model-Based Reasoning (0.42)
Automated Dynamic Mechanism Design
Neural Information Processing Systems
For environments with large time horizons, we show that the principal's optimal
Technology:
Randomized Strategic Facility Location with Predictions
Neural Information Processing Systems
The aim is to design truthful mechanisms, ensuring agents cannot gain by misreporting.
Country:
- North America > United States (0.04)
- Asia > Middle East > Jordan (0.04)
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- Europe > Germany > Berlin (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
Country:
- Asia > China > Jilin Province (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
Technology:
- Information Technology > Artificial Intelligence > Vision (0.73)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.71)
- Information Technology > Artificial Intelligence > Robots (0.69)
Country:
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Robots (0.93)
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AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making Yizhe Huang *2,1 Xingbo Wang * 2 Hao Liu 3 Fanqi Kong 2,1
Neural Information Processing Systems
Traditional interactive environments limit agents' intelligence growth with fixed
Country:
- Europe > Sweden > Skåne County > Malmö (0.04)
- North America > United States > Montana (0.04)
- Asia > China > Hubei Province > Wuhan (0.04)
Industry:
- Education (0.67)
- Leisure & Entertainment > Games > Computer Games (0.46)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents > Agent Societies (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.67)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.70)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents > Agent Societies (0.68)
Country:
- North America > Canada > Alberta (0.14)
- Europe > Italy > Calabria > Catanzaro Province > Catanzaro (0.04)
- Asia > China > Tianjin Province > Tianjin (0.04)
- (2 more...)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.46)
Country:
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.71)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.50)