Research map / Bandits and online learning / Online convex optimization and games
Stable-Predictive Optimistic Counterfactual Regret Minimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use OFTRL with the theoretically suggested stepsize instead of vanilla CFR | CFR · HUNL subgames 3 and 4, simultaneous updates | exploitability | Helped |
| Use OFTRL with the theoretically suggested stepsize instead of vanilla CFR | CFR · HUNL subgames 1 and 2, simultaneous updates | exploitability | Hurt |
| Tune the OFTRL stepsize by dividing it by 10, 100, or 1000 (ablation) | Stable-Predictive CFR · HUNL subgames 1 and 2, simultaneous updates | exploitability | Helped |
| Use OFTRL instead of vanilla CFR | CFR · HUNL subgames 1 and 2, alternating updates | exploitability | Mixed |
| Use manually tuned OFTRL instead of vanilla CFR (ablation) | CFR · HUNL subgames 3 and 4, alternating updates | exploitability | Hurt |
| Use alternating rather than simultaneous updates (ablation) | Stable-Predictive CFR · HUNL subgames 3 and 4 | exploitability | Hurt |
| Use DCFR instead of Stable-Predictive CFR | HUNL subgames · HUNL subgames 1–4, simultaneous updates | exploitability | Helped |
| Use DCFR instead of Stable-Predictive CFR | HUNL subgames · HUNL subgames 1–4, alternating updates | exploitability | Helped |
| Use stable-predictive regret minimizers rather than regular regret minimizers | CFR for two-player zero-sum EFGs · Two-player zero-sum EFGs | Nash equilibrium convergence rate: O(T^{-1/2}) -> O(T^{-3/4}) | Helped |
| Set each local regret minimizer's stability relative to its position in the decision tree and use counterfactual loss predictions | Stable-Predictive CFR · Sequential decision processes | regret bound | Helped |
Closest papers by meaning
- Dynamic Discounted Counterfactual Regret Minimization (ICLR 2024 · similarity 0.93)
- Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games (AAAI 2019 · similarity 0.92)
- Faster Game Solving via Asymmetry of Step Sizes (AAAI 2026 · similarity 0.92)
- Solving Imperfect-Information Games via Discounted Regret Minimization (AAAI 2019 · similarity 0.92)
- Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games (AAAI 2021 · similarity 0.92)
- Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play (NeurIPS 2024 · similarity 0.90)
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