Decentralized learning-based planning for multiagent missions in the presence of actuator failures

Keyphrases

• Learning-based 100%
• Actuator Failure 100%
• Multi-agent 100%
• Decentralized Learning 100%
• Actuator 66%
• Heterogeneous Agents 66%
• Learning Model 33%
• Planning Approach 33%
• Discovery Algorithm 33%
• Flight Experiment 33%
• State Dependence 33%
• Model Uncertainty 33%
• Planning Framework 33%
• State of the Environment 33%
• Probabilistic Model 33%
• Planners 33%
• Simulation Experiment 33%
• Incremental Feature 33%
• Feature Dependency 33%
• Dependency Discovery 33%
• Long-duration Mission 33%
• Heterogeneous Teams 33%
• Planning under Uncertainty 33%
• Joint Learning 33%
• Large-scale Planning 33%
• Higher Learning 33%
• Individual State 33%
• Health Uncertainty 33%
• Uncertainty Simulation 33%
• Health Degradation 33%
• Fuel Burning Rate 33%
• Environmental State 33%

Engineering

• Actuator Failure 100%
• Multiagents 100%
• Joints (Structural Components) 33%
• Model Uncertainty 33%
• Potential Health 33%
• Individual State 33%
• Environmental State 33%

Computer Science

• multi-agent 100%
• Decision-Making 50%
• multi agent 50%
• Model Uncertainty 50%
• Individual State 50%
• Potential Health 50%