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Technology:
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
Neural Information Processing Systems
Without a centralized controller, each agent is responsible to collaborate with others on its own decision.
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- Europe > United Kingdom > England > Greater London > London (0.05)
- Asia > China > Guangdong Province > Shenzhen (0.05)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
Technology: Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.51)
Human-RoboticProsthesisasCollaboratingAgentsfor SymmetricalWalking
Neural Information Processing Systems
Additionally, our approach accelerates learning of walking tasks and increases learning success rate.
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- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- Europe > Germany > Berlin (0.04)
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- North America > United States > Iowa > Johnson County > Iowa City (0.14)
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Learning Mean-Field Games
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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- North America > United States > California > Alameda County > Berkeley (0.04)
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