Learning a data-efficient model for a single agent in homogeneous multi-agent systems

Keyphrases

• Generative Models 100%
• Efficient Model 100%
• Homogeneous multi-agent System 100%
• Convolutional Recurrent Network 100%
• Real Robots 66%
• Collective Motion 66%
• Learning Policy 66%
• Neural Network 33%
• State Transition 33%
• Synthetic Data 33%
• Accurate Model 33%
• Reinforcement Learning 33%
• Complex State 33%
• Multi-agent Systems 33%
• Data Sampling 33%
• Ground Vehicles 33%
• Underwater Vehicle 33%
• Open Hardware 33%
• Sim-to-real 33%
• Multi-agent Reinforcement Learning 33%
• Reality Gap 33%

Computer Science

• Robot 100%
• Multi Agent Systems 100%
• Generative Model 100%
• Recurrent Network 100%
• Open Source 33%
• Synthetic Data 33%
• Reinforcement Learning 33%
• Neural Network Architecture 33%
• Deep Neural Network 33%
• State Transition 33%
• Multi-Agent Reinforcement Learning 33%