Tag: autonomous agents
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OOM-RL: Market-Driven Reinforcement Learning for Multi-Agent LLMs
Discover OOM-RL, a market-driven reinforcement learning method aligning LLM-based multi-agent systems with real-world financial penalties for robust AI.
Cooperation Between Human and Machine Agents Using Promise Theory
Explore how Promise Theory enhances cooperation between human and machine agents, improving trust, communication, and system design in AI-driven environmen...
STARS: Dynamic Skill Invocation Safety for AI Agents
Discover STARS, a dynamic audit framework enhancing invocation safety in autonomous AI agents through real-time risk assessment and skill auditing.
Credit-Budgeted ICPC Coding: Efficient Agent Decision Costs
Explore credit-budgeted ICPC-style coding where autonomous agents balance accuracy and resource costs for efficient decision-making.
Teaching LLMs to Negotiate via Reinforcement Learning
Learn how Reinforcement Learning with verifiable rewards trains LLMs to master negotiation, outperforming larger models in strategic bargaining.