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Win Rate Evaluation on Connect4 Solver Noise 4 (Opponent)

Win Rate Evaluation on Connect4 Solver Noise 4 (Opponent)

92Win RateDQN-Explore-BC

Updated 4mo ago

Evaluation results

Method	Links
DQN-Explore-BC2026.02		92
BC2026.02		40

State-of-the-art paper

DQN-Explore-BC

Multi-agent imitation learning with function approximation: Linear Markov games and beyond

Dataset

Connect4

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Related benchmarks

Win Rate Evaluation on Connect4 Approximate Best Response Opponent Win Rate Evaluation on Connect4 Solver Noise 1 (Opponent)Win Rate Evaluation on Connect4 Solver Noise 3 (Opponent)Win Rate Evaluation on Connect4 Solver Noise 5 (Opponent)

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