Test Generation on CAV-Gym n=1 (test)
16Accuracy (%)Q-Learning
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Q-LearningDescription=Use RL to make optimal decisions2025.12 | 16 | -0.6311 | 4.9954 | |
| MPCDescription=Predict system behaviour and optimise a control sequence to minimise a cost2025.12 | 14.1 | -0.5741 | 10.3012 | |
| ProximityDescription=Select an action according to a threshold distance2025.12 | 11.2 | -2.994 | 2.823 | |
| ElectionDescription=As a proximity agent with proximity-trigger conditions2025.12 | 11.2 | -2.994 | 2.8217 | |
| Constrained randomDescription=Select a random action within a restricted action space2025.12 | 5.6 | -6.0065 | 0.7101 | |
| RandomDescription=Select a random action from the action space2025.12 | 3.8 | -4.2341 | 0.7177 |