Junyu Zhang
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
AI×1
Frequent co-authors
Research Timeline
2026
Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
The paper introduces Global PSRO, a novel deep reinforcement learning framework that efficiently approximates Nash equilibria in large two-player zero-sum games by intelligently expanding the strategy set using a metric called Population Exploitability.
Highlighted terms show continued research focus across papers
Papers
cs.AIRecentMay 27, 2026
Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
Junyu Zhang, Feihong Yang, Jian Wang, Chao Wang +1 more
The paper introduces Global PSRO, a novel deep reinforcement learning framework that efficiently approximates Nash equilibria in large two-player zero-sum games by intelligently expanding the strategy…
View →