Research map / Multi-agent systems and games / Games and equilibria
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos (AAAI 2024 · similarity 0.93)
- Asymptotic Extinction in Large Coordination Games (AAAI 2025 · similarity 0.92)
- Bounded Rationality Equilibrium Learning in Mean Field Games (AAAI 2025 · similarity 0.89)
- Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma (ICML 2025 · similarity 0.89)
- Maximizing utility in multi-agent environments by anticipating the behavior of other learners (NeurIPS 2024 · similarity 0.89)
- Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration (NeurIPS 2025 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
