Research map / Optimization / Nonconvex and smooth optimization
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Decentralized (each player keeps own critic, no access to other player's actions) single-timescale actor-critic with linear function approximation | zero-sum two-player stochastic games · theoretical analysis (no experiments) | optimality gap L(K) rate in K | No clear effect |
| Off-policy reuse of the same data batch instead of fresh batches each iteration | decentralized linear actor critic · theoretical sample complexity | sample complexity to reach Nash equilibrium: O(1/ε^4) to O(1/ε^2) | Helped |
Closest papers by meaning
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- Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding (NeurIPS 2024 · similarity 0.87)
- Solving Zero-Sum Convex Markov Games (ICML 2025 · similarity 0.87)
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