Co-occurring keywords · papers mentioning both
Papers
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
AAAI 2026
Tight rates of approximation of mixed Nash equilibria by entropy regularization in continuous games
UAI 2026
Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games
AAAI 2026
$α$-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function
L4DC 2025
Advantage Alignment Algorithms
ICLR 2025
Alternating Regret for Online Convex Optimization
COLT 2025
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
ICLR 2025
A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
ICML 2025
Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues
ACL 2025
Beyond Symmetry in Repeated Games with Restarts
IJCAI 2025
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
ICLR 2025
Characterising Simulation-Based Program Equilibria
AAAI 2025
Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games
ICLR 2025
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
ICML 2025
Commitment to Sparse Strategies in Two-Player Games
AAAI 2025
Computing Game Symmetries and Equilibria That Respect Them
AAAI 2025
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
ICLR 2025
Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
ICLR 2025
Equilibria of the Colonel Blotto Games with Costs
AAAI 2025
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
L4DC 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
ICML 2025
Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
COLT 2025
Joint-Perturbation Simultaneous Pseudo-Gradient
IJCAI 2025
Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play
JMLR 2025
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
ICML 2025