Leduc Poker
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Payoff prediction (Task A) | Leduc Poker | MSE0.167 | 7 | |
| Opponent-adaptive strategy selection | Leduc Poker 450-agent library (50 held-out opponents) | Mean Payoff1.899 | 7 | |
| Game Playing | Leduc Poker | Raw Reward3.5 | 6 | |
| Payoff prediction (Task B) | Leduc Poker | MSE0.569 | 5 | |
| Agent identification | Leduc Poker 500 eval agents | Top-1 Accuracy57.8 | 4 | |
| Agent identification | Leduc Poker (eval) | Top-1 Accuracy57.8 | 4 | |
| Counterfactual Regret Minimization | Leduc Poker | Average Iteration Time (ms)13.4 | 4 | |
| Payoff prediction (Task C) | Leduc Poker | MSE0.007 | 3 | |
| Payoff prediction (Task A - Fixed) | Leduc Poker | MSE0.227 | 3 | |
| Best-response payoff prediction | Leduc Poker | Payoff2.124 | 2 | |
| Payoff prediction (Task B - Pair) | Leduc Poker | MSE (Payoff B)0.569 | 2 |
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