Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably
Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably explores AI agents can naturally achieve stable equilibrium behaviors in strategic interactions without explicit post-training alignment.. Commercial viability score: 3/10 in AI Agents.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisNonstandard Errors in AI AgentsViability: 2.0
- Builds On ThisPosition: Introspective Experience from Conversational Environments as a Path to Better LearningViability: 2.0
- Prior WorkReward Hacking as Equilibrium under Finite EvaluationViability: 3.0
- Higher ViabilityStrategically Robust Multi-Agent Reinforcement Learning with Linear Function ApproximationViability: 4.0
- Higher ViabilityAI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises