Research map / Multi-agent systems and games / Games and equilibria
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Q-Ball to assess team actions and average the measure across the team | NBA teams · NBA teams | Pearson correlation with average points per game: 0.622 | Helped |
| Simulate Brandon Rush shooting instead of passing | Q-Ball alternative-action evaluation · Golden State Warriors vs Charlotte Hornets episode | Q-Ball: 4.264 -> 4.321 | Helped |
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