A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning
L Liu, J Yang - Reliability Engineering & System Safety, 2023 - Elsevier
The mission abort is an effective action to avoid catastrophic accidents and enhance the
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …
A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning
L Liu, J Yang - Reliability Engineering and System Safety, 2023 - ideas.repec.org
The mission abort is an effective action to avoid catastrophic accidents and enhance the
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …
[PDF][PDF] A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning
L Liu, J Yang - Reliability Engineering and System Safety, 2023 - researchgate.net
The mission abort is an effective action to avoid catastrophic accidents and enhance the
survivability of safetycritical systems such as unmanned aerial vehicle swarms and …
survivability of safetycritical systems such as unmanned aerial vehicle swarms and …
A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning
L Liu, J Yang - Reliability Engineering and System Safety, 2023 - econpapers.repec.org
The mission abort is an effective action to avoid catastrophic accidents and enhance the
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …
survivability of safety-critical systems such as unmanned aerial vehicle swarms and …